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Proceedings Paper

A comparative study of conventional and deep learning approaches for demosaicing Mastcam images
Author(s): Chiman Kwan; Bryan Chou
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Paper Abstract

Bayer pattern is a low cost approach to generating RGB images in commercial digital cameras. In NASA's mast camera (Mastcams) onboard the Mars rover Curiosity, Bayer pattern has also been used in capturing the RGB bands. It is well known that debayering (also known as demosaicing) introduces color and zipper artifacts. Currently, NASA is using a demosaicing algorithm developed in early 2000’s. It is probably the right time to assess some state-of-the-art algorithms and recommend a more recent and powerful approach to NASA for its future missions. In this paper, we present results of a comparative study on the use of conventional and deep learning algorithms for demosaicing Mastcam images. Due to lack of ground truth, subjective evaluation has been used in our study.

Paper Details

Date Published: 7 May 2019
PDF: 8 pages
Proc. SPIE 11018, Signal Processing, Sensor/Information Fusion, and Target Recognition XXVIII, 1101814 (7 May 2019); doi: 10.1117/12.2518489
Show Author Affiliations
Chiman Kwan, 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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