Arthur C. Depoian, Ethan R. Adams, Aidan G. Kurz, Colleen P. Bailey, P. Guturu, K. Namuduri
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Recent Advances in Entropy Based Image Compression
The future of image compression is abundant with the opportunities recently developed through the application of advanced neural network algorithms configured to take into account multiple image parameters. This progress has spurred on further progression into more complex architectures to extract the feature of the image for optimal compression. Of the many models available, this work tracks an evolution of end to end image compression by first analyzing BLS2017 and its successors, BMSHJ2018 and MS2020.
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