What is the Bit Depth of an Image? | Image Bit Depth Explained | 8-Bit vs. 16-Bit

The Art of Retouching Studio
10 Aug 202011:49

Summary

TLDRIn this video, John Ross from The Art of Retouching Studio discusses the impact of bit-depth on image tonal range. He explains that while 8-bit is sufficient for most digital media, professionals often opt for 16-bit to access a broader color spectrum, crucial for complex images like sunsets. Ross demonstrates how higher bit-depths reduce banding and improve color transitions, though he also acknowledges that for many images, the benefits of 16-bit may not be visibly significant on standard displays or in print.

Takeaways

  • πŸ–ΌοΈ Understanding bit-depth is crucial for managing an image's tonal range, which affects both digital and print outputs.
  • πŸ”˜ Tonal range in images is described from absolute black (0%) to absolute white (100%), with various shades of gray in between.
  • 🌈 Color images use RGB channels, where each channel represents a color and contributes to the overall image when combined.
  • πŸ”‘ A pixel is a single data point containing color and luminance information, with accuracy determined by bit-depth.
  • πŸŽ›οΈ Photoshop defaults to 8-bit images, suitable for web and digital media, but this can limit color data, especially from RAW files.
  • πŸ“ˆ Bit-depth defines the number of shades of gray from black to white, with 8-bit offering 256 levels per channel, totaling 16.7 million colors.
  • πŸ’‘ Professionals often use 10-bit or 12-bit displays and cameras to capture more color data, which can be edited in Photoshop as 16-bit for smoother gradients.
  • πŸ†š Higher bit-depths, like 16-bit, provide more color steps, reducing banding and allowing for more detailed image adjustments.
  • πŸŒ… Real-world examples show 16-bit images handle complex gradients better than 8-bit, maintaining smooth transitions without banding.
  • πŸ€” Despite the benefits of 16-bit, the presenter suggests that for most images, 8-bit is sufficient, and the extra color depth may not be visibly noticeable on typical displays or in prints.

Q & A

  • What is the primary focus of the video by John Ross from the Art of Retouching?

    -The video primarily focuses on explaining how the bit-depth of an image affects the tonal range of an image, which is crucial for photographers and retouchers to understand for both screen display and print.

  • What is the tonal range in terms of grayscale?

    -The tonal range in grayscale goes from absolute black (0%) to absolute white (100%), with various shades of gray in between, such as 75% gray (three-quarter tones), 50% gray (mid-tones), and 25% gray (quarter tones).

  • How does color affect the tonal range when discussing bit-depth?

    -When color is introduced, the tonal range is expanded into RGB (red, green, and blue) channels, each having its own tonal range. This allows for a combination of colors to create a full-color image, increasing the potential tonal range.

  • What is a pixel in the context of digital images?

    -A pixel is considered a single data point that contains information about color and luminance. The accuracy of this information is determined by the bit-depth of the data.

  • Why does Photoshop default to 8-bit for image editing?

    -Photoshop defaults to 8-bit because it is suitable for most digital media and websites, and it is compatible with the 8-bit display commonly used in devices.

  • What is the difference between 8-bit and 16-bit in terms of color information?

    -8-bit allows for 256 levels of information per channel, resulting in 16.7 million colors, while 16-bit provides 65,000 levels per channel, supporting 281 trillion colors, offering a much wider color range and smoother gradients.

  • What is the practical benefit of using 16-bit over 8-bit in image editing?

    -Using 16-bit provides a greater depth of color information, which can prevent banding and allow for more flexibility in editing without losing tonal details, especially in images with large gradients.

  • Why might a professional retoucher choose to work with 16-bit images?

    -Professional retouchers may choose 16-bit images to access the additional color data captured by high-end cameras, which can result in smoother gradients and more detailed images, especially important for high-quality prints and large-scale reproductions.

  • What are the limitations of 32-bit images in Photoshop?

    -While 32-bit images can handle an extremely high color range, they are primarily used for creating HDR images. They also present challenges in Photoshop as many features become inaccessible or non-functional at this bit depth.

  • What advice does John Ross give regarding the choice between 8-bit and 16-bit for most photographers?

    -John Ross suggests that for most photographers, 8-bit is sufficient unless they are dealing with images that have severe gradients, like sunsets, where 16-bit would provide a smoother gradient without banding.

  • What is the significance of bit-depth in relation to image resolution?

    -Bit-depth is significant as it determines the color information and tonal range of an image, which can impact the perceived resolution and quality, especially in areas with subtle color variations.

Outlines

00:00

πŸ–ΌοΈ Understanding Bit Depth and Tonal Range

John Ross from the Art of Retouching Studio explains the concept of bit depth and its impact on the tonal range of an image. He emphasizes the importance of understanding bit depth to avoid Photoshop's default settings that may not be suitable for print. Tonal range is described as the spectrum from absolute black to absolute white, with various shades of gray in between. Each shade is referred to as a step, and the number of steps is determined by the bit depth. Bit depth is crucial as it dictates the accuracy of color and luminance information in an image. Photoshop typically works with 8-bit images, which are sufficient for digital media but limit color data. Professionals often use higher bit depths like 10-bit or 12-bit for better color accuracy and to avoid issues like banding in tones. The video contrasts 8-bit with 16-bit images, showing how the latter can handle more color data and provide smoother gradients.

05:02

🌈 The Advantages of 16-bit Over 8-bit

This section delves into the practical differences between 8-bit and 16-bit images. With 8-bit, there are 256 shades of gray per channel, leading to 16.7 million colors, while 16-bit offers 65,000 shades per channel, resulting in 281 trillion colors. The video uses a technical demonstration to show how 8-bit images can suffer from banding when adjusted, while 16-bit images maintain smooth gradients. Ross argues that while 16-bit provides a significant color advantage, most images do not require it unless they involve complex gradients or high dynamic range scenes. He suggests that for most photography and retouching work, 8-bit is sufficient, but for professional standards and to avoid banding, 16-bit is preferred.

10:04

πŸ“Έ The Reality of Bit Depth in Professional Photography

In this final paragraph, Ross discusses the practical application of bit depth in professional photography. He acknowledges that while 16-bit offers more color fidelity, the real-world benefits are often negligible for most images, especially considering that most digital displays and print media are 8-bit. He shares his experience of reviewing a large number of images and finding very few that necessitate 16-bit processing. Ross concludes that while 16-bit can enhance color depth, the perceptible difference to the average viewer is minimal, and the choice between 8-bit and 16-bit should be based on the specific needs of the project and theζ‘„ε½±εΈˆ's equipment capabilities.

Mindmap

Keywords

πŸ’‘Bit-depth

Bit-depth refers to the number of bits used to represent the color or tone of a single pixel in an image. In the video, it is explained as the range of tonal values from absolute black to absolute white, with 8-bit being the standard for most digital media. The video emphasizes the importance of bit-depth in determining the quality and smoothness of an image, particularly when dealing with gradients and subtle color changes. Higher bit-depths, such as 16-bit, allow for a greater number of color variations, leading to smoother gradients and less visible banding in images.

πŸ’‘Tonal range

Tonal range is the spectrum of colors or shades of gray that an image can display, from the darkest black to the brightest white. The video discusses how understanding tonal range is crucial for image editing, as it affects the image's overall appearance and quality. The script mentions absolute black (100 black), three-quarter tones (75 gray), mid-tones (50 gray), quarter tones (25 gray), and absolute white (0 percent) as key points in the tonal range, which are essential for achieving a balanced and detailed image.

πŸ’‘RGB

RGB stands for Red, Green, and Blue, which are the primary colors used in digital imaging to create a wide array of colors. In the video, the concept of RGB is used to explain how each color channel contributes to the overall color and luminance of an image. The video mentions that each color channel in an 8-bit image has 256 levels of gray, resulting in a total of 16.7 million colors when combined. This concept is fundamental to understanding how digital images are constructed and how they can be manipulated for various outputs.

πŸ’‘Pixel

A pixel is the smallest unit of an image, essentially a single point of color or light. The video describes a pixel as a data point containing information about color and luminance, with the accuracy of this information being determined by the bit-depth. The script uses the pixel as a foundational concept to explain how images are made up and how the manipulation of pixel data can affect the final appearance of an image.

πŸ’‘8-bit

8-bit is a standard color depth used in digital imaging, where each color channel (red, green, and blue) has 256 levels of intensity, resulting in 16.7 million possible colors. The video discusses 8-bit as being sufficient for most digital media and regular photography, but it also points out its limitations when compared to higher bit-depths, such as 16-bit. The script uses 8-bit as a reference point to illustrate the differences in image quality and editing capabilities between various bit-depths.

πŸ’‘16-bit

16-bit is a higher color depth than 8-bit, offering 65,536 levels of intensity per color channel, which results in 281 trillion possible colors. The video highlights 16-bit as a preferred option for professionals, particularly in beauty and fashion retouching, due to its ability to handle a greater amount of color data and provide smoother gradients. The script contrasts 16-bit with 8-bit to demonstrate how higher bit-depths can prevent banding and offer more flexibility in image editing.

πŸ’‘Banding

Banding refers to the visible lines or steps in an image where there is a sudden change in color or tone. The video explains that banding occurs when there are not enough color steps to smoothly transition between shades, which is more likely to happen in 8-bit images. The script uses banding as an example of a problem that can be mitigated by using higher bit-depths, such as 16-bit, which provide more color steps and smoother tonal transitions.

πŸ’‘Raw files

Raw files are a type of image file format that contains minimally processed data from the image sensor of a digital camera. The video mentions that professionals often work with raw files to utilize the extra color information they contain, which is typically captured in higher bit-depths like 12-bit. The script suggests that working with raw files at higher bit-depths can provide more flexibility and detail in post-processing.

πŸ’‘32-bit

32-bit is an extremely high color depth that is used primarily for creating High Dynamic Range (HDR) images. The video cautions that while 32-bit offers a vast color range, it requires reducing the bit-depth for most practical uses, which can distort colors and tones. The script briefly touches on 32-bit as a specialized domain within digital imaging, suggesting that it is not typically necessary for standard image editing workflows.

πŸ’‘HDR

HDR stands for High Dynamic Range and refers to techniques used in photography and imaging to capture a greater range of luminosity and detail than standard methods. The video mentions HDR in the context of 32-bit color depth, indicating that HDR is an area where the full capabilities of 32-bit processing can be utilized. The script implies that HDR is a specialized application where the benefits of higher bit-depths become more apparent.

Highlights

Understanding bit-depth is crucial for managing an image's tonal range, which affects both screen and print quality.

Tonal range in images is the spectrum from absolute black to absolute white, with various shades of gray in between.

Each shade of tone in a grayscale image is referred to as a step, indicating the number of transitions from black to white.

Color images use RGB channels, where darker shades represent higher concentrations of color.

Pixels are data points containing color and luminance information, with accuracy determined by bit depth.

Photoshop defaults to 8-bit images, suitable for web and digital media but limiting for color data.

8-bit RGB offers 256 levels per channel, totaling 16.7 million colors, which is often sufficient for regular photography.

Professionals use 10-bit or higher displays and graphics cards to access more color data from RAW files.

Digital cameras often capture in 12-bit mode, offering 68.71 billion colors,θΏœθΆ…8-bit capabilities.

16-bit mode in Photoshop supports 2.81 trillion colors, beneficial for beauty and fashion retouchers.

Higher bit depths reduce the potential for banding in tones, providing smoother gradients.

16-bit images can handle more aggressive editing without losing tonal quality compared to 8-bit images.

32-bit images are used for creating HDR images, but are not practical for everyday use in Photoshop due to limited feature access.

Most images can be adequately displayed and printed using 8-bit, but 16-bit can eliminate banding concerns.

The presenter's experience suggests that 16-bit is not always necessary, despite the benefits it provides over 8-bit.

High-resolution cameras may not benefit significantly from 16-bit due to workflow slowdowns in Photoshop.

The true value of 16-bit depth may be limited by the inability of monitors and printers to fully utilize its color range.

The decision between 8-bit and 16-bit should be based on the specific needs of the image and the intended presentation medium.

Transcripts

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[Music]

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my name is john ross from the art of

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retouching studio in this video we're

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going to be talking about how the bit

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depth of an image affects the tonal

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range of an image this is important to

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understand because if you allow

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photoshop to be in control it will

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easily choose something for screen

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display and not necessarily for print

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display

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tonal range goes from absolute black to

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absolute white with shades of gray in

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between

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absolute black is referred to as 100

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black

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inside of the shadow areas it's referred

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to as 75 gray or the three quarter tones

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next we have 50 gray or the mid tones

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and then we have 25 percent gray

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otherwise known as the quarter tones and

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finally zero percent which is absolute

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white at its core this information is

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good for simple grayscale images where

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you have black white and shades of gray

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in between each shade of tone is

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referred to as a step because as you

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will soon see you are only allowed a

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certain amount of steps when going from

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black to white

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once you introduce the concept of color

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you can now work in rgb which is red

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green and blue

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each color gets its own channel it kind

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of looks like the old film days

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here we have the darker the shade the

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higher concentration of that color if

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you were to overlay each of the channels

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together they combine to display a full

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color image your images are made up of

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pixels think of a pixel as a single data

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point that contains information about

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color and luminance the accuracy of the

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information is determined by the bit

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depth of that data bit depth is the

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number of steps or shades of gray that

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it takes to go from absolute black to

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absolute white photoshop by default

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wants to work on your images as 8-bit

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this is fine for websites and other

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digital media this is also good because

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most devices use an 8-bit display while

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you could easily get away with using

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8-bit for your regular photography

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images as you will see you will actually

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be missing out on a lot of possible

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color data this is because 8-bit is

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actually quite limiting but in general

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most people are working in 8-bit rgb the

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bit depth allows for 256 discrete levels

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of information per pixel per channel

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this means that you will have 256 steps

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of gray for the red channel 256 steps of

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gray for the blue channel and 256 steps

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of gray for the green channel once they

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all get combined together that becomes

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256 times 256 times 256 which equals

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16.7 million colors now that sounds like

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a lot of colors and in most cases it

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works out just fine

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however there is much more information

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that can be had when working with your

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raw files

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to utilize the extra information

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professionals spend more money on

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monitor and graphics cards where one of

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the perks gives them a 10-bit display

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this is

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1.07 billion colors this sounds great

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but your digital camera is likely to be

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capturing in 12-bit mode which is even

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higher at

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68.71 billion colors suddenly working in

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only 8-bit with 16.7 million colors

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sounds kind of small

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that's because it is and we still have a

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lot more to go if you were to look

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inside of photoshop image mode you can

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see that there are three options 8-bit

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16-bit and 32-bit

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beauty and fashion retouchers will often

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use that 16-bit option because that

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supports 2.81 trillion colors

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conceptually you need that because once

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you bring your 12-bit image into

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photoshop at 16-bit you are then allowed

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the freedom to grow once you start

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adding adjustment layers like levels and

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curves the higher the bits the more the

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steps and the less potential there is

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for banding in the tones

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we have the same gradation in both the

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top image and the bottom image the

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difference here is that the top image is

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an 8-bit and the lower image is 16-bit

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currently they both look the same

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i'm going to start with the 8-bit image

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by using the levels adjustment i'm going

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to change the black output levels to be

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110 and the white output level to be

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148. this simple move turned the

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gradient into an almost solid gray

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what i just did was modify the absolute

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black tones and the absolute white tones

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and photoshop crushed that information

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into this narrow band for the tonal

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range if i was to take that level that i

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just made and drop it onto the 16-bit

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image below then visually it does the

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exact same thing

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now here's where things start getting

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funky if i create a new levels

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adjustment and on the top area i change

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black to 110 and the white to 148 you

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will see that the 16 bit image is back

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to where it was when we first started a

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nice smooth gradient from absolute black

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to absolute white if i take the levels

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adjustment layer that i just created and

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i drag that onto the 8-bit image your

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mind should now be blown because we now

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have a huge difference between the two

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where this 8-bit image is completely

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banding and it looks nothing like it did

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in the beginning however the 16-bit

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image looks the same as it did in the

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beginning

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the 16-bit version has enough overhead

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that it can handle being torn apart and

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put back together again

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that is the difference between 8-bit and

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16-bit once again if you only have 256

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shades of gray per channel in 8 bit it

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means that when you start dealing with

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16 bit depth you now have 65 000 shades

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of gray per channel when that computer

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has to choose from in order to rebuild

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the missing data this was a very

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deliberate and very technical example in

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the real world images are going to look

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the same to us to the computer however

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it has a wider range of possible colors

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to choose from this means any

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possibility of banding like you see here

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can be avoided

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let's get into a real world example with

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this image here there are a lot of

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different things going on you have blues

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you have oranges you have black you have

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tones that are bright and dark different

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things are happening and it's all broken

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up using 8-bit which utilizes 16.7

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million colors is more than enough to

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display this image and print this image

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moving on things are going to get more

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complex

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in order to see what i'm talking about i

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need to zoom in about 800 percent here

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is a sunset in eight bit well generally

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it looks fine

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now let's compare that same image to a

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16-bit version

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when comparing you can actually see how

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the 8-bit image is a bit more blotchy

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and choppy at 16 bit it's much softer

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not because it's blurry but because it

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has 64 times more colors to work with so

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it can give a smoother transition from

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one pixel to the next if we introduce

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the 32-bit version it's most obvious in

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the top orange areas we can see that

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when looking at all three together the

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higher the bit rate the more colors it

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has to choose from but

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32-bit is tricky because in order to

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actually use this file we need to drop

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the bit depth down and then that

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distorts the colors and tones in

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unpredictable ways additionally once you

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enable 32-bit photoshop actually breaks

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with less than half of the features

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still working

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most things are simply grayed out or

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inaccessible in order to really start

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showing you what i mean i've

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intentionally boosted the contrast of

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these next images the 8-bit once again

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looks fine but that's only until we

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compare it to the 16-bit version once

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again when you get up close you can see

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how crisp and crunchy those pixels are

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in 8-bit because they can't make the

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softer transitions in this last example

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you can see how 8-bit has really severe

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hard pixelization and distinct banding

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banding is when you clearly see the

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rings or the lines it's the steps we

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were talking about earlier as it tries

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to go from one shade to the next it

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isn't as noticeable in the 16-bit

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version because it can make those

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smoother transitions

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if you're in the dark about as to

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whether or not you need to use 8-bit or

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16-bit for your image unless you have a

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severe sunset gradient you are more than

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likely okay with 8-bit if you feel as

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though you may have a problem simply

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change 8-bit to 16-bit while you're

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still editing in lightroom or camera raw

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before exporting the file if you do that

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you should expect a nice smooth gradient

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out of your image

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but yeah this is the reason why high-end

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photographers and retouchers use 16 bits

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per channel as a standard it doesn't

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mean that every image actually needs it

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very few actually do however we no

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longer need to even worry about banding

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as a topic for us or for our clients

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after photoshop's image modes 16 bits

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per channel this is followed by

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photoshop's image mode 32 bits per

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channel 32-bit however is a whole other

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beast it is the exclusive domain when

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creating hdr images no need to even

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think about this bit depth again inside

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of photoshop

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so always keep your images at 16 bit and

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you'll be glad that you did

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however here's the thing though in

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working on this video i had the hardest

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time coming up with any images that

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actually required 16 bit as a

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professional it's my job to say that you

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need to use 16 bit on every image

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however as a professional i also know

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where the color increase and more

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importantly the size increase is

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actually needed the problem we are

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dealing with today is that the new

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cameras come with such high megapixels

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generally between 40 and 100

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that working on them in 16 bit isn't

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really worth the slowed down workflow in

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photoshop

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i have a beast of a machine and yet

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using 16-bit with smart objects from a

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50-megapixel camera really leaves me

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waiting around while it pushes all those

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colors don't mistake the difference of

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using 16-bit versus 8-bit will reveal an

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entirely new world of color it really

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just adds greater depth of possibility

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to each pixel of data the thing is your

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monitor can't see it and your printer

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can't print it so other than the placebo

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effect is there any true value in 16-bit

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depth sunset images have massive

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gradations of similar hues

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quite often an 8-bit display will not be

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able to show every color variant within

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that gradation instead it will replace

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the color with the nearest neighbor that

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it can display this will lead to visual

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banding on your monitor

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i went through my own catalog of 90 000

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images and then i went through a

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professional photographer's catalog of

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500 000 images and i was only able to

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come up with a small handful i would

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even consider 16 bit as mandatory

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pros will likely disagree with me but i

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stand my ground

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the reason is that while all images will

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benefit from 16-bit over 8-bit obviously

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the true test is in the presentation

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assuming most digital displays are 8-bit

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the quality will automatically be

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downgraded anyway also considering print

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media needs to go through an 8-bit cmyk

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conversion i further stand my ground

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for the passionate i get it if you have

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two adjacent pixels of similar quality

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in 16-bit we will certainly have two

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adjacent pixels that are completely

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different in 8-bit we will obviously

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lose fidelity of color tone variation

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and definition but i sustain that normal

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people glancing at the image simply

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couldn't care less either you agree or

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disagree with my assessment of 8-bit

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versus 16-bit images leave your comments

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below and that leads us to our next

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major topic resolution be sure to check

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out that video as well the link is in

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the description below

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if you found this video helpful please

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go to

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www.theartofretouching.com where you can

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find more tips and tricks to make you a

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better photo retoucher

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you

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