Summary
Colour quantised images consist of two parts: a colour palette which represents all possible colours in the image, and an index image which stores which colour is to be used at each pixel position. This index image still contains a large amount of redundant information which can be exploited by applying lossless image compression algorithms. The achieved compression ratio however depends on the ordering of the colour entries in the palette. Hence, in order to achieve better compression, the colour entries need to be reordered so as to allow maximal redundancy exploitation by the specific compression algorithm to be used. In this paper we present a simulated annealing approach to reordering the palette for subsequent JPEG2000 or JPEG-LS lossless compression of the index information. We show that our algorithm allows for improved compression compared to previous reordering techniques.
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Schaefer, G., Nolle, L. (2009). An Optimisation Approach to Palette Reordering for Indexed Image Compression. In: Avineri, E., Köppen, M., Dahal, K., Sunitiyoso, Y., Roy, R. (eds) Applications of Soft Computing. Advances in Soft Computing, vol 52. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-88079-0_18
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DOI: https://doi.org/10.1007/978-3-540-88079-0_18
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