Today I am thrilled to introduce our second Enhance feature: Super Resolution. Enhance Details uses machine learning to interpolate those patterns into RGB color images. We reasoned at the time that similar machine learning methods might enable us to improve photo quality in new and exciting ways.Ĭamera sensors see the world through mosaic patterns like the ones shown above. Two years ago, we released Enhance Details, a feature that uses machine learning to interpolate raw files with an uncanny degree of fidelity, resulting in crisp details with few artifacts. This pan-blur photo doesn’t have any fine details and doesn’t need Super Resolution, even when making a big print. After long and careful consideration, I decided that I really don’t need a hundred megapixel photos of my cat. As for myself, I have a hundred thousand photos in my catalog, but I’ve used Super Resolution on just a handful of them. I recommended using a fast drive like a Solid-State Drive, or SSD.įinally, don’t feel that you need to apply Super Resolution on all your photos! Think of it as a new option for those special photos and print projects that really need it. Super Resolution can produce very large files, which take longer to read from disk. The GPU landscape is changing quickly and I expect big performance improvements around the corner.
ADOBE CAMERA RAW FILTER SERIES
Similarly, the TensorCores in NVIDIA’s RTX series of GPUs run Windows ML very efficiently. For example, the Neural Engine in the Apple M1 chip is highly tuned for CoreML performance.
If you’re in the market for a new computer or GPU, look for GPU models optimized for CoreML and Windows ML machine learning technologies. We’re talking about seconds vs minutes to process a single image!
For laptop owners, an external GPU (eGPU) can make a big difference. Both Enhance Details and Super Resolution perform millions of calculations and benefit immensely from a fast GPU. If the source photo has artifacts, as often happens with highly compressed JPEGs or HEIC files, then these artifacts might become more visible after applying Super Resolution.Ī faster GPU means faster results. More generally, start from the cleanest source photo available. Here are some tips for getting the most out of Super Resolution. To understand Super Resolution properly, we must first talk about Enhance Details. There’s more goodness to imagine, but we’re getting ahead of ourselves. Imagine having an advanced “digital zoom” feature to enlarge your subject. Imagine upsizing an old photo taken with a low-res camera for a large print.
Imagine turning a 10-megapixel photo into a 40-megapixel photo. Super Resolution is also a pixels project, but of a different kind. You might sense a pattern here - I like to mess around with pixels. Previous projects that I’ve worked on include Highlights and Shadows, Clarity, Dehaze, Camera Profiles, Lens Corrections, and Upright. My name is Eric Chan, and I’ve worked at Adobe for thirteen years.
ADOBE CAMERA RAW FILTER HOW TO
In this post I’ll explain what it is, how it works, and how to get the most from it. Super Resolution is now shipping in Camera Raw 13.2 and will be coming soon to Lightroom and Lightroom Classic. Michaël also previously developed a related feature, Enhance Details. I collaborated closely on this project with Michaël Gharbi and Richard Zhang of Adobe Research. I recently worked on a feature called Enhance Super Resolution and I’m delighted to share it is now live today. “From the ACR team” is a blog series that brings you insights directly from the team that builds the imaging features for Lightroom, Lightroom Classic, Lightroom mobile, Adobe Camera Raw, and the Camera Raw filter in Photoshop.
The inset images show zoomed-in crops of two areas of the photo, with crisply rendered branches and flying snow. Pack more megapixels into your photos with Adobe Super ResolutionĪrticle by Eric Chan, senior principal scientist at Adobe, explaining how the new machine learning powered Super Resolution feature in Lightroom works.
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