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Researchers claim this AI model achieves better compression rates than PNGs


Image compression has been one of the constantly evolving challenges in computer science. Programers and researchers are always trying to improve current standards or create new ones to get better image quality at a lower size. Earlier this month, researchers from The University of Texas at Austin, Sheng Cao, Chao-Yuan Wu, and Philipp Krahenbuhl, published a paper that looks at using super-resolution to get lossless compression of images. The model is called Super-Resolution based Compression (SReC). But before we get into the nitty-gritty of the research. Let’s understand what a few of these terms mean. Super-resolution is a practice to up-scale or enhance the resolution of a…

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