State-of-the-art lossy compression of Martian images via the CMA-ES evolution strategy
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چکیده
The research described in this paper uses the CMAES 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 state-of-the-art for the lossy compression of images transmitted over the deep-space channel. Keywords-image compression; evolution strategies; wavelets; quantization
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تاریخ انتشار 2012