That is Super resolution is really the second phase of that project and which refers to the process of improving the quality of a photograph by enhancing or improving its apparent resolution.īy now you all know that enlarging a photograph causes blurred details to be generated, but Super Resolution is capable of mitigating them with a advanced machine learning model or Machine Learning trained by millions of photos. And now imagine that you have an advanced 'digital zoom' function to enlarge the subject of such a photograph.Īnd it is that this novelty comes from a feature that was released 2 years ago: Enhanced Details, and that it uses Machine Learning to interpolate raw files with a degree of fidelity, resulting in sharper details with few artifacts. He clarifies it very well by putting the example of an old image that we have 10MP taken by a low resolution camera for a large print. Super resolution is itself also a pixel project, just as he claims, but of a different kind. His work in Photoshop is noticeable and this time he surprises us with this great novelty. We cite the project manager of this novelty who has previously been working in Photoshop carrying out new features such as: Shadows and Highlights, Clarity, Camera Profiles or Lens Correction among other projects. 2 Now the question: do we really need more pixels?Įric Chan is in charge of the Super Resolution project carried out and that we already have in Photoshop through Camera Raw.

Adobe camera raw enhance