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Overcompressing JPEG Images with Evolution Algorithms

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Applications of Evolutionary Computing (EvoWorkshops 2007)

Part of the book series: Lecture Notes in Computer Science ((LNTCS,volume 4448))

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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.

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References

  1. Home site of the JPEG and JBIG committees: http://www.jpeg.org/

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  2. Nosratinia, A.: Enhancement of JPEG-Compressed images by re-application of JPEG. Journal of VLSI Signal Processing 27, 69–79 (2001)

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  3. Chan, T.F., Shen, J., Zhou, H-M.: Total Variation Wavelet Inpainting. Journal of Mathematical Imaging and Vision 25(1), 107–125 (2006)

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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)

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