Adobe Photoshop Super Resolution

Adobe Photoshop Super Resolution is a sophisticated machine learning feature integrated into the Adobe Camera Raw (ACR) and Lightroom ecosystems. Utilizing the Adobe Sensei AI framework, it leverages a deep convolutional neural network trained on millions of high-resolution image pairs to intelligently predict and reconstruct missing pixels during the upscaling process. Unlike traditional bicubic interpolation which stretches existing pixels and creates blur, Super Resolution doubles the linear resolution (quadrupling the total pixel count) while maintaining sharp edges and textures. By 2026, this technology has matured into a core component of the Adobe Firefly-enhanced creative workflow, allowing photographers to salvage heavily cropped images and prepare legacy assets for 8K displays and large-format printing. The technical architecture specifically excels at processing RAW files, utilizing the underlying mosaic data before demosaicing to yield superior color accuracy and detail compared to standard raster upscaling. It operates non-destructively, outputting a Digital Negative (DNG) file that retains all the editing flexibility of the original RAW data.