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State-of-the-art lossy compression of Martian images via the CMA-ES evolution strategy
2012
Visual Information Processing and Communication III
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The research described in this paper uses the CMA-ES evolution strategy to optimize matched forward and inverse transform pairs for the compression and reconstruction of images transmitted from Mars rovers under conditions subject to quantization error. Our best transforms outperform both the integer and floating-point implementations of the 2/6 wavelet, substantially reducing error in reconstructed images without allowing increases in compressed file size. This result establishes a new
doi:10.1117/12.912162
dblp:conf/vipc/BabbMAP12
fatcat:sz7sgorfzvff3dfimb37hqonie