We present a high performance image compression framework for Mastcam images in the Mars rover Curiosity. First, we aim at achieving perceptually lossless compression. Four well-known image codecs in the literature have been evaluated and the performance was assessed using four well-known performance metrics. Second, we investigated the impact of error concealment algorithms for handling corrupted pixels due to transmission errors in communication channels. Extensive experiments using actual Mastcam images have been performed to demonstrate the proposed framework.

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Chiman Kwan, Jude Larkin, and Bryan Chou, "Perceptually lossless compression of Mastcam images with error recovery," Proc. SPIE 11018, Signal Processing, Sensor/Information Fusion, and Target Recognition XXVIII, 1101815 (Presented at SPIE Defense + Commercial Sensing: April 17, 2019; Published: 7 May 2019); https://doi.org/10.1117/12.2518482.