NEW Lightroom AI feature COMPLETELY RESTORES Under Exposed images!!
TLDRAdobe Lightroom's latest AI feature is a game-changer for photographers, especially when dealing with underexposed images. The new AI Denoise function can restore poor quality and underexposed photographs, enhancing them with remarkable clarity and detail. The video demonstrates how this feature works by comparing three virtual copies of a skateboarder image in Trafalgar Square, shot at a high ISO of 3200. After increasing exposure, the old noise reduction method leaves the image soft and processed-looking, while the AI Denoise feature creates a new DNG version with significantly less noise and more defined details. The feature's effectiveness is further showcased with an even more underexposed image at a high ISO of 6400, where it manages to bring out details and colors that were nearly lost. The video concludes with the presenter applying a preset to the improved image, making it pop on screen. The presenter also contemplates the future of Lightroom's capabilities, pondering if Photoshop might become redundant with Lightroom's growing resemblance to it.
Takeaways
- π Adobe Lightroom has released a new AI feature that can significantly improve the quality of underexposed images.
- πΈ The AI-powered denoising tool can restore details and clarity in images that were previously considered poor quality.
- π A demonstration using an image of a skateboarder in Trafalgar Square showed the effectiveness of the new feature compared to traditional noise reduction methods.
- π The AI Denoise feature creates a new DNG version of the image with AI processing, resulting in cleaner and more detailed images.
- π¨ After using the AI Denoise feature, applying presets like Urban Nightlights can make the image pop dramatically.
- π The AI feature also performed exceptionally well on an image with high ISO and underexposure, enhancing details and colors in shadow areas.
- π· Lightroom's advancements are making it more comparable to Photoshop, with the ability to apply curves to adaptive masks.
- π€ The video raises the question of whether Photoshop might become less necessary in the future due to Lightroom's capabilities.
- π The video script suggests that even skilled photographers may end up with underexposed images, highlighting the utility of the new feature.
- β±οΈ The processing time for the AI Denoise feature depends on the image size, ranging from 2 minutes for smaller images to 6 minutes for a 100 MP camera.
- π The presenter encourages viewers to like the video and offers a link to download their preset pack in the video description.
Q & A
What is the main feature discussed in the video that Adobe Lightroom has introduced?
-The main feature discussed is a new AI-powered denoising feature that can restore poor quality and underexposed images, significantly improving their quality.
How many virtual copies of the raw file does the speaker create for comparison in the video?
-The speaker creates three virtual copies of the raw file for comparison.
What is the high ISO used in the example image of the skateboarder in Trafalgar Square?
-The high ISO used in the example image is 3200.
How much exposure adjustment is made to the first virtual copy in the demonstration?
-The exposure is adjusted by approximately 2 stops.
What is the issue with the image quality when the exposure is increased without using the new AI Denoise feature?
-Increasing the exposure without using the AI Denoise feature introduces a significant amount of noise and grain, resulting in a poor quality image.
How does the old method of noise reduction in Lightroom affect the image's appearance?
-The old method of noise reduction can leave the image looking fuzzy and soft, with a processed appearance, even after adding sharpness and clarity.
What is the estimated time for the AI Denoise feature to process an image?
-The estimated time for the AI Denoise feature to process an image is 2 minutes for a standard image and 6 minutes for an image taken with a 100 MP camera.
How does the AI Denoise feature enhance the clarity and sharpness of the image?
-The AI Denoise feature enhances the clarity and sharpness in a natural way by virtually removing all of the noise and defining details that were almost lost in the original raw file.
What preset pack does the speaker apply to the final image in the video?
-The speaker applies the 'Urban Nightlights' preset pack to the final image.
Why might a photographer have underexposed images in their back catalogue?
-Photographers might have underexposed images due to challenging shooting conditions, such as dark ambient light, high ISO requirements, need for fast shutter speed to avoid motion blur, or limitations of the lens aperture.
What is the speaker's speculation about the future of Adobe Photoshop in relation to Lightroom's increasing capabilities?
-The speaker speculates that as Lightroom becomes more capable, with features like the ability to apply curves to adaptive masks, the need for Photoshop might diminish in the future.
How can viewers download the speaker's preset pack mentioned in the video?
-Viewers can download the speaker's preset pack by following the links provided in the video description.
Outlines
π Introduction to Lightroom's AI Denoise Feature
Adobe Lightroom has introduced a significant update that enhances image quality using artificial intelligence (AI). This update is particularly impressive for restoring poor-quality images and underexposed photographs. The video demonstrates this feature using an image of a skateboarder in Trafalgar Square, which was initially underexposed and noisy. The presenter creates three virtual copies of the image to compare the effects of different noise reduction methods. The first copy is manually adjusted for exposure, which introduces noise. The second copy uses the traditional noise reduction tool, which, while reducing noise, leaves the image soft and processed-looking. The third copy utilizes the new AI Denoise feature, which, after processing, results in a much cleaner image with smoother skin, more defined details, and natural clarity and sharpness. The AI Denoise feature stands out for its ability to restore details and enhance the image in a way that was nearly lost in the original file.
πΈ Real-World Scenarios for Lightroom's AI Denoise
The video acknowledges that while it's always best to capture images at the correct exposure, there are situations where photographers might end up with underexposed or noisy images. This is especially true when trying to capture fleeting moments in challenging lighting conditions. The presenter discusses the limitations faced, such as high ISO settings and the need to avoid motion blur by using a fast shutter speed. The video then presents a second example of an underexposed image with a high ISO of 6400. Again, three virtual copies are created to compare noise reduction methods. The AI Denoise feature is shown to be superior, as it significantly improves the image quality, particularly in shadow areas, and preserves details like the logo on a bumblebee and the texture of a subject's jacket. The presenter concludes by contemplating the future of Lightroom and its growing similarity to Photoshop, and offers a link to download a preset pack in the video description.
Mindmap
Keywords
π‘Adobe Lightroom
π‘AI Denoise
π‘Under Exposed
π‘High ISO
π‘Virtual Copies
π‘Noise Reduction
π‘Detail and Clarity
π‘DNG Version
π‘Presets
π‘Shadow Areas
π‘Motion Blur
Highlights
Adobe Lightroom introduces a new AI feature that can restore underexposed images.
The AI-powered feature improves image quality by restoring poor quality and underexposed photographs.
A demonstration image of a skateboarder in Trafalgar Square is used to showcase the feature's effectiveness.
The image was initially shot at a high ISO of 3200, making it very dark with little ambient light.
Three virtual copies of the raw file are created for comparison purposes.
The AI Denoise button is used to open a control window that provides a pixel-level preview.
The AI processing creates a new DNG version of the image, significantly reducing noise and enhancing detail.
The new Denoise feature provides a cleaner result compared to the old noise reduction method.
The feature preserves and enhances details such as skin texture, clothing, and facial features.
A comparison with the original overexposed image without noise reduction highlights the AI feature's effectiveness.
The AI feature also works well with an underexposed image taken at a high ISO of 6400.
The De-Noise AI feature significantly improves the detail and clarity in shadow areas.
The feature's ability to restore images with high ISO values and underexposure is particularly impressive.
Lightroom's new update is compared to Photoshop, suggesting a potential shift in the need for Photoshop in the future.
The video demonstrates how the AI feature can bring back to life images that were previously underexposed.
The presenter suggests that Lightroom's advancements are making it more competitive with Photoshop.
A Preset Pack called Urban Nightlights is mentioned, which can be applied to enhance the final image.
The presenter encourages viewers to download their preset pack and engage with the video for channel support.