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

• URL: http://arxiv.org/abs/2310.10517v1
• Date: Mon, 16 Oct 2023 15:33:58 GMT
• Title: Distribution prediction for image compression: An experimental re-compressor for JPEG images
• Authors: Maxim Koroteev and Yaroslav Borisov and Pavel Frolov
• Abstract summary: 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.
• Score: 1.8416014644193066
• License: http://creativecommons.org/publicdomain/zero/1.0/
• 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.

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