Overcompressing JPEG images with evolution algorithms

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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. © Springer-Verlag Berlin Heidelberg 2007.

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APA

Véhel, J. L., Mendivil, F., & Lutton, E. (2007). Overcompressing JPEG images with evolution algorithms. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 4448 LNCS, pp. 383–390). https://doi.org/10.1007/978-3-540-71805-5_42

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