Online stores and marketplaces often don’t have high-res photos of the products they sell. Let’s zoom in all 3 samples: Original (left) vs Photoshop Super Resolution (center) vs Let’s Enhance (right)Īdobe SR did make the image sharper but also amplified the compression artifacts. Photoshop Super Resolution (left) vs Let’s Enhance (right) Like in the previous case, we stacked together close crops to make the difference between samples visible on the screen. We take a low-res (640 x 426) picture and enlarge it with Super Resolution and Let’s Enhance. The procedure for this test is roughly the same. To address this issue, Let’s Enhance added to its toolkit a separate network trained on portraits. So we can spot right away when the app messes up the portrait even a little bit. People evolved to recognize the tiniest facial features. Upscaling pictures of human faces is one of the most challenging tasks for neural networks. Let’s Enhance increased the resolution and made the owl look almost as if it was originally shot from a foot away. Super Resolution made the image smoother compared to the original crop but didn’t restore the details. The output becomes more distinct when we zoom in further: Photoshop Super Resolution (left) vs Let’s Enhance (right) Photoshop Super Resolution (left) vs Let’s Enhance 2x (right) Now let’s apply this new ML-based upscaling from Adobe and Let’s Enhance to our image. It was one of the most advanced ways to enlarge the image before machine learning-based upsizing came into play. In the first test, Super Resolution produced results roughly comparable to older algorithms, like bicubic interpolation. Original photo (left), original close crop (top right), Photoshop’s standard bicubic enlargement (bottom right) Animal photography is one of those genres that can always benefit from lossless upsampling. It’s hard to get a close, high-quality shot of a bird in the wild. You can find all the photos we tested in this Google Drive folder and inspect them closer. Adobe Super Resolution has only one mode with no settings for now.Īnd since it’s impossible to see the difference between large 50+ MP samples on a web page, we’ll use small to medium size photos and compare original close crops to upscaled ones. Let’s Enhance is set to Smart Enhance mode and 2x upscaling. In the tests below, we compare Photoshop and Let’s Enhance for different use cases: animal and real estate photography, portraits, large photos for print, and product images. We’ve run some tests and are ready to show you actual photos enlarged by each tool. But the reality is that SR is still an early-stage technology and has limited applications for now.īut enough words. Yes, the cons list was much longer for Photoshop SR.
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SR upscales photos while trying to preserve the details. It works with the latest Photoshop and Bridge editions. Super Resolution (SR) is a new feature in Adobe’s Camera Raw plugin. Keep reading to find out which one is best for you. We'll cover Photoshop’s Super Resolution and Let’s Enhance pros & cons and make a side-by-side comparison of photos we processed with each app. Both technologies aim at upscaling images while maintaining or even improving quality. On the surface, these tools might look similar. Since the last Adobe Camera Raw plugin update, some of our customers asked us how Let’s Enhance compares to Adobe’s new “Super Resolution” feature. Provides an API for image optimization at scale.Has customizable upscaling (up to 16x), resolution, and DPI.Improves image quality and removes compression artifacts.Runs on your computer and uses your GPU.Both Adobe Super Resolution and Let’s Enhance can upscale images using AI.
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