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Research from Lawrence Livermore National Laboratory (LLNL) has yielded a method of compressive image recovery that is trained on patches of images, rather than full-size images. The method, called GPP (generative patch prior), is able to recover a wide variety of natural images. It compares favorably with other existing methods, the researchers said, in its ability to perform compressive image sensing and complete compressive phase retrieval tasks.
Compressive sensing is a class of methods that aids in designing new image sensors that, rather than sensing individual pixels, sense coded or modulated version of several pixels in one go, said Rushil Anirudh, a computer scientist in the machine intelligence group at LLNL. With the proper…READ MORE