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.
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References
Home site of the JPEG and JBIG committees: http://www.jpeg.org/
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© 2007 Springer-Verlag Berlin Heidelberg
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Lévy Véhel, J., Mendivil, F., Lutton, E. (2007). Overcompressing JPEG Images with Evolution Algorithms. In: Giacobini, M. (eds) Applications of Evolutionary Computing. EvoWorkshops 2007. Lecture Notes in Computer Science, vol 4448. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-71805-5_42
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DOI: https://doi.org/10.1007/978-3-540-71805-5_42
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-71804-8
Online ISBN: 978-3-540-71805-5
eBook Packages: Computer ScienceComputer Science (R0)