Cool-Chic: Perceptually Tuned Low Complexity Overfitted Image Coder
2024 Data Compression Conference (DCC)(2024)
摘要
This paper summarises the design of the Cool-Chic candidate for the Challenge
on Learned Image Compression. This candidate attempts to demonstrate that
neural coding methods can lead to low complexity and lightweight image decoders
while still offering competitive performance. The approach is based on the
already published overfitted lightweight neural networks Cool-Chic, further
adapted to the human subjective viewing targeted in this challenge.
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关键词
Image Compression,Decoding,Multilayer Perceptron,Latent Representation
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