Presentation + Paper
7 May 2019 Perceptually lossless compression of Mastcam images with error recovery
Author Affiliations +
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.
Conference Presentation
© (2019) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
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 (7 May 2019); https://doi.org/10.1117/12.2518482
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CITATIONS
Cited by 7 scholarly publications.
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KEYWORDS
Image compression

Error analysis

Imaging systems

RGB color model

Video compression

Cameras

Multispectral imaging

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