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Proceedings Paper

Perceptually lossless compression of Mastcam images with error recovery
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Paper Abstract

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.

Paper Details

Date Published: 7 May 2019
PDF: 12 pages
Proc. SPIE 11018, Signal Processing, Sensor/Information Fusion, and Target Recognition XXVIII, 1101815 (7 May 2019); doi: 10.1117/12.2518482
Show Author Affiliations
Chiman Kwan, Applied Research, LLC (United States)
Jude Larkin, Applied Research, LLC (United States)
Bryan Chou, Applied Research, LLC (United States)


Published in SPIE Proceedings Vol. 11018:
Signal Processing, Sensor/Information Fusion, and Target Recognition XXVIII
Ivan Kadar; Erik P. Blasch; Lynne L. Grewe, Editor(s)

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