NEW Lightroom AI feature COMPLETELY RESTORES Under Exposed images!!

Mark McGee Photos
28 May 202306:26

TLDRAdobe Lightroom 的最新更新引入了一项令人震惊的 AI 功能，可以完全恢复曝光不足的照片。视频中展示了一个在特拉法加广场拍摄的滑板运动员的示例，该照片原本曝光不足，非常暗，几乎没有环境光。使用 Lightroom 的新 AI Denoise 功能，即使在提高曝光两档后，也能显著减少照片中的噪点，同时保留细节，使照片看起来更清晰、更自然。这个功能通过创建一个新的 DNG 版本来应用 AI 处理，与旧的噪点减少方法相比，效果显著更好。视频还展示了另一个在高 ISO 6400 下拍摄的曝光不足的照片，AI Denoise 功能同样表现出色，不仅减少了噪点，还增强了阴影区域的细节和颜色。这个更新让摄影师能够挽救那些原本可能因为曝光不足而无法使用的照片。

Takeaways

  • 🚀 Adobe Lightroom has introduced a new AI feature that significantly improves the quality of underexposed images.
  • 📸 The AI-powered denoising tool can restore poor quality and underexposed photographs, bringing them back to life.
  • 🎨 A demonstration using an image of a skateboarder in Trafalgar Square showed the AI's ability to enhance details and reduce noise.
  • 🔍 Creating virtual copies of a raw file allows for comparison of different adjustments, including the new AI denoise feature.
  • 📈 Increasing exposure in Lightroom traditionally introduces noise, which is evident in the example image.
  • 🔧 The old method of noise reduction involved adjusting the luminance and sharpness, but resulted in a soft and unrealistic image.
  • 🆕 The new AI Denoise feature creates a new DNG version of the image with AI processing, resulting in cleaner and more detailed results.
  • 👕 The improved quality is particularly noticeable in textures like the skateboarder's t-shirt and the details in his hands and forearms.
  • 🆚 Comparing the AI denoised image to the original overexposed image without noise reduction highlights the feature's effectiveness.
  • 📈 The AI denoise feature also performed well on an image with a high ISO of 6400, enhancing details in shadow areas and improving color vibrance.
  • 🤔 Despite the feature's capabilities, the video acknowledges that capturing images at the correct exposure is still ideal, but not always possible.
  • 🔮 The development of Lightroom's capabilities raises questions about the future need for Photoshop, as Lightroom becomes more advanced.

Q & A

  • What is the main feature of the new Adobe Lightroom update discussed in the transcript?

    -The main feature discussed is the AI-powered denoising tool that can restore poor quality and underexposed images, significantly improving image quality.

  • How many virtual copies of the raw file does the speaker create for comparison in the demonstration?

    -The speaker creates three virtual copies of the raw file for comparison.

  • What is the ISO setting used for the first image of the skateboarder in Trafalgar Square?

    -The ISO setting used for the first image is 3200.

  • How does the speaker initially attempt to fix the noise in the underexposed image?

    -The speaker initially attempts to fix the noise by adjusting the exposure and using the old noise reduction panel, specifically by increasing the luminance to around 50.

  • What is the estimated time to process the image using the new AI Denoise feature after increasing the exposure by 2 stops?

    -The estimated time to process the image using the new AI Denoise feature is 2 minutes.

  • How does the new AI Denoise feature differ from the old noise reduction method in terms of image quality?

    -The new AI Denoise feature provides a much cleaner and more detailed image compared to the old method, resulting in smoother skin, more defined details in hands and forearm muscles, and a more natural enhancement of clarity and sharpness.

  • What preset pack does the speaker apply to the original raw file to enhance the image?

    -The speaker applies the 'Urban Nightlights' preset pack to the original raw file.

  • What is the high ISO setting used for the second underexposed image example?

    -The high ISO setting used for the second underexposed image example is 6400.

  • How much time does the AI Denoise feature estimate for processing an image taken with a 100 MP camera?

    -The AI Denoise feature estimates 6 minutes for processing an image taken with a 100 MP camera.

  • In what areas does the speaker find the AI Denoise feature particularly effective?

    -The speaker finds the AI Denoise feature particularly effective in shadow areas, where it brings out defined details and improves color vibrance.

  • What is the speaker's opinion on the future need for Photoshop as Lightroom continues to improve its features?

    -The speaker wonders if the continued improvement of Lightroom, which is becoming more like Photoshop with features like curves on adaptive masks, will diminish the need for Photoshop in the future.

  • How can viewers download the speaker's preset pack mentioned in the transcript?

    -The speaker mentions that links to download the preset pack will be provided in the description below the video.

Outlines

00:00

🚀 Introduction to Lightroom's AI Denoise Feature

Adobe Lightroom's new update introduces a groundbreaking AI denoising feature that significantly enhances image quality. The video demonstrates the process using an underexposed photo of a skateboarder in Trafalgar Square, shot at a high ISO of 3200. The presenter creates three virtual copies of the raw file to compare different noise reduction techniques. The first copy is adjusted for exposure, revealing excessive noise and grain. The second copy uses traditional noise reduction methods, which, despite reducing noise, leaves the image soft and processed-looking. The third copy utilizes Lightroom's new AI Denoise feature, which, after a short processing time, produces a remarkably cleaner image with smoother skin, more defined details, and natural clarity and sharpness. The feature's effectiveness is further showcased by applying it to a more challenging image with a high ISO of 6400, demonstrating its ability to restore details and colors in shadow areas.

05:02

📸 The Relevance of Lightroom's AI Denoise in Real-World Photography

The video acknowledges that while ideally, photographers aim for correct exposure, there are situations where images end up underexposed or noisy due to environmental constraints or the need to capture a fleeting moment. The presenter discusses the limitations faced when shooting in low light conditions, such as high ISO settings and the trade-off between shutter speed and motion blur. The AI Denoise feature in Lightroom offers a solution to salvage such images, allowing photographers to restore details and reduce noise effectively. The video concludes with speculation on the future of photo editing software, pondering whether tools like Lightroom might eventually replace Photoshop. The presenter also offers a link to download a preset pack and encourages viewers to support the channel.

Mindmap

Keywords

💡Adobe Lightroom

Adobe Lightroom is a powerful photo editing software developed by Adobe Inc. It is widely used by photographers for organizing, editing, and enhancing their digital photos. In the video, it is highlighted for its new AI feature that significantly improves image quality, particularly for underexposed images.

💡AI Denoise

AI Denoise refers to an artificial intelligence-powered feature that reduces noise in digital images. In the context of the video, Adobe Lightroom's new AI Denoise button is showcased as a revolutionary tool that can restore poor quality images by removing noise and enhancing details in a more natural and effective way compared to traditional methods.

💡Under Exposed

Under exposed refers to a photograph that has been captured with insufficient light, resulting in a darker image. The video demonstrates how the new AI feature in Lightroom can restore underexposed images, bringing them back to life with improved brightness and reduced noise.

💡High ISO

High ISO refers to a camera setting that makes it more sensitive to light, allowing for faster shutter speeds or lower light conditions. However, a high ISO can also introduce more noise into the image. The video discusses how the AI Denoise feature in Lightroom can help with images shot at high ISO, such as 3200 or 6400, by reducing noise while maintaining image quality.

💡Virtual Copies

In Adobe Lightroom, virtual copies are non-destructive duplicates of a single raw file that allow photographers to make different adjustments to the same image without affecting the original. The video script describes creating virtual copies to compare the effects of the AI Denoise feature with traditional noise reduction methods.

💡Noise Reduction

Noise reduction is the process of minimizing the visual noise, or grain, that appears in digital images, often as a byproduct of high ISO settings or poor lighting conditions. The video emphasizes the limitations of traditional noise reduction techniques and how the AI Denoise feature in Lightroom offers a superior alternative.

💡Detail and Clarity

Detail and clarity refer to the sharpness and distinctness of elements within a photograph. The video demonstrates that the AI Denoise feature not only removes noise but also preserves and enhances details and clarity in images, which is crucial for high-quality photography.

💡DNG File Format

DNG, which stands for Digital Negative, is a file format associated with Adobe that preserves all the original raw data from a photograph. The video mentions that the AI Denoise feature creates a new DNG version of the image with AI processing, indicating that the improvements are non-destructive and maintain the integrity of the original file.

💡Presets

Presets in Adobe Lightroom are pre-configured settings for various adjustments such as exposure, contrast, and color that can be applied to images for quick and consistent edits. The video script mentions applying a Preset Pack called Urban Nightlights to enhance the final look of an image.

💡Adaptive Masks

Adaptive masks are a feature in Adobe Lightroom that allows for selective editing of specific areas of an image, such as backgrounds, skies, or subjects. The video briefly mentions this feature from a previous update, indicating the continuous improvement and added functionality of the software.

💡Shadow Areas

Shadow areas in photography refer to the parts of an image that are not directly illuminated and are therefore darker. The video highlights how the AI Denoise feature particularly excels at improving the quality of these shadow areas, bringing out details that were previously lost in darkness.

Highlights

Adobe Lightroom introduces a new AI feature that can completely restore underexposed images.

The AI-powered feature significantly improves image quality, even in poor lighting conditions.

A demonstration image of a skateboarder in Trafalgar Square, underexposed by 2 stops, is used to showcase the feature.

The image was initially shot at a high ISO of 3200, resulting in a very dark and noisy photograph.

Creating virtual copies allows for comparison of the AI Denoise feature with traditional methods.

Traditional noise reduction methods leave images looking processed and lacking in detail.

The AI Denoise feature processes the image in approximately 2 minutes, creating a new DNG version.

The AI Denoise feature results in a cleaner image with smoother skin and more defined details.

The feature virtually removes all noise and enhances clarity and sharpness in a natural way.

A second, more challenging image underexposed by 2.5 stops and a high ISO of 6400 is presented.

The AI Denoise feature significantly improves shadow detail and color vibrance in challenging images.

The feature's performance in shadow areas is particularly impressive, bringing out details that were nearly lost.

The AI Denoise feature's impact is described as 'mind blowing' for its ability to restore underexposed images.

The video discusses the practical challenges photographers face when capturing images in low light.

Lightroom's advancements are making it more comparable to Photoshop, raising questions about the future need for Photoshop.

The presenter offers a Preset Pack called Urban Nightlights to enhance images further.

The video concludes by encouraging viewers to like and subscribe for more content.

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