Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/40786
Title: Image demosaicing : a systematic survey
Authors: Li, X
Gunturk, B
Zhang, L 
Keywords: Algorithms
Issue Date: 2008
Publisher: SPIE-International Society for Optical Engineering
Source: Proceedings of SPIE : the International Society for Optical Engineering, 2008, v. 6822, 68221J How to cite?
Journal: Proceedings of SPIE : the International Society for Optical Engineering 
Abstract: Image demosaicing is a problem of interpolating full-resolution color images from so-called color-filter-array (CFA) samples. Among various CFA patterns, Bayer pattern has been the most popular choice and demosaicing of Bayer pattern has attracted renewed interest in recent years partially due to the increased availability of source codes/executables in response to the principle of "reproducible research". In this article, we provide a systematic survey of over seventy published works in this field since 1999 (complementary to previous reviews22, 67). Our review attempts to address important issues to demosaicing and identify fundamental differences among competing approaches. Our findings suggest most existing works belong to the class of sequential demosaicing - i.e., luminance channel is interpolated first and then chrominance channels are reconstructed based on recovered luminance information. We report our comparative study results with a collection of eleven competing algorithms whose source codes or executables are provided by the authors. Our comparison is performed on two data sets: Kodak PhotoCD (popular choice) and IMAX high-quality images (more challenging). While most existing demosaicing algorithms achieve good performance on the Kodak data set, their performance on the IMAX one (images with varying-hue and high-saturation edges) degrades significantly. Such observation suggests the importance of properly addressing the issue of mismatch between assumed model and observation data in demosaicing, which calls for further investigation on issues such as model validation, test data selection and performance evaluation.
Description: Conference on Visual Communications and Image Processing 2008, San Jose, U.S.A., 28 January 2008
URI: http://hdl.handle.net/10397/40786
ISSN: 0277-786X
EISSN: 1996-756X
DOI: 10.1117/12.766768
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