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Overfitted image coding at reduced complexity
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Overfitted image codecs offer compelling compression performance and low decoder complexity, through the overfitting of a lightweight decoder for each image. Such codecs include Cool-chic, which presents image coding performance on par with VVC while requiring around 2000 multiplications per decoded pixel. This paper proposes to decrease Cool-chic encoding and decoding complexity. The encoding complexity is reduced by shortening Cool-chic training, up to the point where no overfitting is performed at all. It is also shown that a tiny neural decoder with 300 multiplications per pixel still outperforms HEVC. A near real-time CPU implementation of this decoder is made available at https://orange-opensource.github.io/Cool-Chic/.
Forward citations
Cited by 2 Pith papers
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N-O Cool-chic: reconcile fast encoding with lightweight decoding for neural image compression
N-O Cool-chic replaces per-image overfitting with a shared analysis transform, reducing encoding complexity by ~1000x while keeping a 2,300 MAC/pixel decoder and only a 45% rate penalty versus overfitted Cool-chic.
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Good, Cheap, and Fast: Overfitted Image Compression with Wasserstein Distortion
Optimizing the overfitted C3 codec with Wasserstein Distortion plus shared decoder noise yields generative-level perceptual quality at a fraction of the decoding cost.
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