Overcompressing JPEG Images with Evolution Algorithms

Authors:
Jacques Lévy Véhel;Franklin Mendivil;Evelyne Lutton
Affiliations:
Inria, Complex Team, 78153 Le Chesnay, France;University of Acadia, Department of Mathematics and Statistics, Wolfville, Nova Scotia, B4P 2R6, Canada;Inria, Complex Team, 78153 Le Chesnay, France
Venue:
Proceedings of the 2007 EvoWorkshops 2007 on EvoCoMnet, EvoFIN, EvoIASP,EvoINTERACTION, EvoMUSART, EvoSTOC and EvoTransLog: Applications of Evolutionary Computing
Year:
2009

Citing 2
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Enhancement of JPEG-Compressed Images by Re-application of JPEG

Journal of VLSI Signal Processing Systems - Special issue on multimedia signal processing
Total Variation Wavelet Inpainting

Journal of Mathematical Imaging and Vision

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Abstract

Overcompression is the process of post-processing compressed images to gain either further size reduction or improved quality. This is made possible by the fact that the set of all "reasonable" images has a sparse structure. In this work, we apply this idea to the overcompression of JPEG images: We reduce the blocking artifacts commonly seen in JPEG images by allowing the low frequency coefficients of the DCT to vary slightly. Evolutionary strategies are used in order to guide the modification of the coefficients towards a smoother image.