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One critical component in lossy deep image compression is the entropy model, which predicts the probability distribution of the quantized latent representation in the encoding and decoding modules.
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Bpg image format, 2014
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Adam: A method for stochastic optimization
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End-to-end learned image compression via non-local attention optimization and improved context modeling
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Causal contextual prediction for learned image compression
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Interpolation variable rate image compression
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Joint autoregressive and hierarchical priors for learned image compression
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Image-dependent local entropy models for image compression with deep networks
David Minnen, George Toderici, Saurabh Singh, Sung Jin Hwang, and Michele Covell
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