Work

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

Year: 2023

Type: preprint

Abstract: 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.

Source: arXiv (Cornell University)

DOI: 10.48550/arxiv.2310.10517

Authors: Koroteev, Maxim, Borisov, Yaroslav, Frolov, Pavel

Language: English

Topic: Advanced Data Compression Techniques

Subfield: Computer Vision and Pattern Recognition

Field: Computer Science

Domain: Physical Sciences

Open Access status: green

OpenAlex ID: W4387725368

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