Finally!! a Lightroom Tool that actually IMPROVES Image Quality!

Mark Denney
10 May 202315:13

TLDRThe video discusses the impact of image quality in the era of advanced post-processing and introduces a new tool in Adobe Lightroom that significantly improves image quality. The host tests the tool on a high ISO photograph taken in the Blue Ridge Mountains, demonstrating how the new denoise AI feature in Lightroom preserves fine details and enhances colors, unlike the previous method which resulted in a loss of detail. The video also highlights other new features in the latest Lightroom update, such as the curve tool for masks, which allows for more precise adjustments, and visual indicators that show where edits have been applied, making the editing process more organized and efficient. The host concludes that while they are not certain if the new noise reduction tool is the best available, it is a substantial improvement over previous versions.

Takeaways

  • πŸ“· **Image Quality Relevance**: The video discusses the importance of image quality and how advancements in post-processing might affect its significance.
  • πŸ” **Lightroom Updates**: Adobe Lightroom has introduced new tools that address previous criticisms, such as a Content-Aware tool for cloning and healing.
  • πŸ”§ **Noise Reduction**: The new Denoise AI tool in Lightroom is showcased as a significant improvement over previous methods, preserving fine details and enhancing colors.
  • 🌟 **Detail Preservation**: A comparison between old and new noise reduction methods shows the new tool's ability to retain more detail in high ISO images.
  • 🎨 **Color Enhancement**: The Denoise AI tool not only reduces noise but also improves color accuracy and saturation in images.
  • πŸ“Š **Curves in Masks**: A new feature allows for the application of curve adjustments to specific areas of an image through masks, offering more control and flexibility.
  • πŸ–ŒοΈ **Sky Selection Tool**: The ability to select and adjust the sky separately from the rest of the image is introduced, making it easier to fine-tune specific parts of a photo.
  • πŸ“Œ **Edit Indicators**: Lightroom now includes visual cues (dots and eyeballs) to indicate which sections have been edited, improving workflow and organization.
  • πŸ“‰ **Efficiency Improvements**: The update streamlines the editing process by allowing users to toggle visibility of edits and apply adjustments more intuitively.
  • πŸ”„ **Non-Destructive Editing**: The new update maintains the non-destructive nature of Lightroom, allowing for easy reversal of changes and preserving the original image data.
  • πŸ“ˆ **User Experience**: The overall user experience in Lightroom is enhanced with these updates, making it more user-friendly and efficient for photographers.

Q & A

  • What is the main topic of the video?

    -The main topic of the video is the new Lightroom tool that improves image quality, particularly focusing on its noise reduction capabilities.

  • What is the definition of image quality mentioned in the video?

    -Image quality refers to the level of accuracy with which imaging systems capture, process, store, compress, transmit, and display the signals that form an image.

  • What were the two major issues in Lightroom that were addressed in the update?

    -The two major issues were Lightroom's inability to clone or heal an area of a photograph and its inability to clean up a noisy photograph without destroying the fine details.

  • How does the new Content-Aware tool in Lightroom work?

    -The Content-Aware tool works by allowing users to clone or heal areas of a photograph with improved accuracy and effectiveness compared to previous options.

  • What is the new denoise AI tool in Lightroom and how does it work?

    -The new denoise AI tool in Lightroom is an advanced noise reduction feature that uses artificial intelligence to effectively remove noise from images while preserving details and enhancing color.

  • What type of files can the new denoise AI tool be applied to?

    -The denoise AI tool can only be applied to RAW files and not to JPEG, TIFF, or PNG files.

  • How does the new mask feature with the curve tool in Lightroom enhance the editing process?

    -The new mask feature with the curve tool allows users to apply adjustments to specific areas of an image with more precision and control, enabling targeted editing of various aspects such as tone, color, and sharpness.

  • What are the benefits of the new visual indicators in the Lightroom update?

    -The new visual indicators, such as the eyeballs and dots, help users quickly identify which sections of the image have been edited and allow them to toggle these edits on and off for better organization and efficiency.

  • What is the significance of the comparison between the old and new noise reduction methods in the video?

    -The comparison demonstrates the substantial improvement in noise reduction and detail preservation offered by the new AI tool, showcasing its effectiveness in enhancing image quality.

  • What other new features are introduced in the Lightroom update besides the denoise AI tool?

    -Other new features include the ability to apply curves to masks, improved visual indicators for edits, and enhanced organization and editing capabilities across various sections of the software.

Outlines

00:00

πŸ“· The Relevance of Image Quality in the Age of Post-Processing

The paragraph discusses the importance of image quality and how it is defined in terms of the accuracy with which imaging systems handle image signals. It questions whether high image quality is still crucial given the advancements in post-processing tools that can significantly improve images. The speaker highlights two major improvements in Adobe Lightroom: a content-aware tool for cloning and healing, and a new denoise AI tool that preserves fine details and color even in high ISO photos, which is demonstrated using a noisy photograph taken in the Blue Ridge Mountains.

05:01

πŸ” A Closer Look at Lightroom's New Denoise AI and Color Enhancement

This section provides a detailed comparison between the old and new noise reduction methods in Lightroom. The speaker shows how the new denoise AI tool significantly reduces noise while enhancing details and colors in images, even in challenging high ISO conditions. The paragraph also emphasizes the visual impact of the tool's ability to bring back colors and details that were previously lost due to noise, showcasing the substantial leap in image quality improvement.

10:01

🎨 Exploring Additional Updates in Lightroom: Masks and Curves

The speaker delves into other new features in Lightroom's update, such as the ability to select and edit specific parts of an image, like the sky, using new mask tools and a curve tool. This allows for more precise adjustments to color, contrast, and other aspects within certain areas of a photo. The paragraph also mentions the usefulness of visual indicators (like blue dots) that show which parts of the photo have been edited, and the convenience of being able to toggle edits on and off for different sections of the editing panel.

15:03

πŸ‘ Wrapping Up: The Impact of Lightroom's Update on Photography

In the concluding paragraph, the speaker summarizes the impact of the new features in Lightroom's update, particularly the denoise AI tool, and how it represents a significant improvement over previous versions. They invite viewers to ask questions in the comments section and express their appreciation for viewership, also hinting at the possibility of future content related to these updates.

Mindmap

Keywords

πŸ’‘Image Quality

Image quality refers to the level of accuracy with which imaging systems capture, process, store, compress, transmit, and display the signals that form an image. In the context of the video, it is about the fine details in a photograph, which is a critical aspect when evaluating the effectiveness of post-processing tools like Adobe Lightroom.

πŸ’‘Post-Processing

Post-processing is the process of editing and enhancing a photograph after it has been taken. It is a crucial step in photography that can significantly improve the final image. The video discusses the advancements in post-processing and questions whether the original image quality still matters given the power of these tools.

πŸ’‘Adobe Lightroom

Adobe Lightroom is a popular photo editing software used by photographers for organizing, editing, and publishing photos. The video focuses on the improvements made to Lightroom, particularly its new denoise AI tool and other features that enhance image quality.

πŸ’‘Content-Aware Tool

A content-aware tool is a feature in photo editing software that allows users to remove or clone parts of an image while the software automatically fills in the removed area with content that matches the surrounding area. In the video, it is mentioned as one of the significant updates in Lightroom that addresses a previous shortcoming.

πŸ’‘Noise Reduction

Noise reduction is the process of reducing the amount of random variation in brightness or color (noise) in an image, often introduced by high ISO settings in cameras. The video demonstrates the effectiveness of Lightroom's new denoise AI tool in reducing noise without compromising image detail.

πŸ’‘Denoise AI Tool

The Denoise AI Tool in Lightroom is a new feature that uses artificial intelligence to reduce noise in images, particularly those taken at high ISO levels. The video shows a comparison between the old and new noise reduction methods, highlighting the AI tool's ability to preserve fine details and colors.

πŸ’‘ISO Level

ISO level refers to the sensitivity of a camera's sensor to light. A higher ISO level allows for faster shutter speeds or smaller apertures in low-light conditions but can introduce more noise into the image. The video uses an example with an ISO level of 25600 to test the noise reduction capabilities of Lightroom.

πŸ’‘Detail Preservation

Detail preservation is the ability of an editing tool to maintain the fine details of an image while making adjustments, such as noise reduction. The video emphasizes the importance of detail preservation and shows how Lightroom's new tool excels in this area.

πŸ’‘Color Enhancement

Color enhancement is the process of improving the color quality of an image, making it more vibrant and accurate. The video discusses how the new denoise AI tool not only reduces noise but also seems to enhance colors, particularly in areas with high ISO noise.

πŸ’‘Masking

Masking in photo editing is the technique of selecting specific areas of an image to apply certain adjustments without affecting the rest of the image. The video highlights new masking features in Lightroom, including the ability to apply curves to masks for more precise adjustments.

πŸ’‘Curves

Curves is a powerful tool in photo editing that allows for the adjustment of tonal ranges in an image. The video mentions the introduction of the curves tool within the masking feature in Lightroom, which provides greater control and flexibility for color and tone adjustments.

Highlights

The debate on whether image quality matters in the era of advanced post-processing tools.

Adobe Lightroom's new Content-Aware tool significantly improves cloning and healing capabilities.

Lightroom's previous issues with noise reduction and detail preservation have been addressed.

A demonstration of a high ISO photograph showcasing the noise levels and the potential for enhancement.

Introduction of Lightroom's new denoise AI tool and its comparison with the old noise reduction tool.

The AI tool's ability to reduce noise while enhancing details and textures.

Color preservation and enhancement in high ISO images using the new denoise feature.

The new update's impact on the workflow with the ability to toggle visibility of edits.

Inclusion of curve tools within the mask section for more precise adjustments.

The convenience of the new indicators that show which sections have been edited.

The potential for further improvements, such as color grading within the mask section.

The significant leap in image quality improvement with the new update compared to previous versions.

Comparison between the old and new noise reduction methods, showcasing the substantial difference.

The practical application of the new tools in enhancing specific areas of a photograph.

The overall organization and speed improvement in the editing process with the new update.

The author's personal experience with the new update and its benefits in their workflow.

Invitation for viewers to ask questions and engage with the content in the comments section.