mlsanityData to 14 Oct 2026

Distribution prediction for image compression: An experimental re-compressor for JPEG images

arXiv 2310.10517 ↗First posted 16 Oct 2023cs.CVcited by 0

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Abstract (arXiv)

We propose a new scheme to re-compress JPEG images in a lossless way. Using a JPEG image as an input the algorithm partially decodes the signal to obtain quantized DCT coefficients and then re-compress them in a more effective way.

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  2. 2026Learned JPEG Compression for DNN Vision
  3. 2021End-to-End Image Compression with Probabilistic Decoding
  4. 2022Neural JPEG: End-to-End Image Compression Leveraging a Standard JPEG Encoder-Decoder
  5. 2025Seeing Delta Parameters as JPEG Images: Data-Free Delta Compression with Discrete Cosine Transform
  6. 2021Modeling Image Quantization Tradeoffs for Optimal Compression
  7. 2021A Machine Learning Approach to Optimal Inverse Discrete Cosine Transform (IDCT) Design ↗
  8. 2023JPEG Quantized Coefficient Recovery via DCT Domain Spatial-Frequential Transformer