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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/.

Th\'eophile Blard, Th\'eo Ladune, Pierrick Philippe, Gordon Clare, Xiaoran Jiang, Olivier D\'eforges• 2024

Related benchmarks

TaskDatasetResultRank
Image CompressionCLIC 2020--
34
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