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The entire Image Signal Processor (ISP) of a camera relies on severalprocesses to transform the data from the Color Filter Array (CFA) sensor, suchas demosaicing, denoising, and enhancement. These processes can be executedeither by some hardware or via software. In recent years, Deep Learning hasemerged as one solution for some of them or even to replace the entire ISPusing a single neural network for the task. In this work, we investigatedseveral recent pieces of research in this area and provide deeper analysis andcomparison among them, including results and possible points of improvement forfuture researchers.

ISP meets Deep Learning: A Survey on Deep Learning Methods for Image Signal Processing