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Fast color image restoration with multisensors
Author(s) -
Ng Michael K.,
Bose N. K.
Publication year - 2002
Publication title -
international journal of imaging systems and technology
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.359
H-Index - 47
eISSN - 1098-1098
pISSN - 0899-9457
DOI - 10.1002/ima.10028
Subject(s) - tikhonov regularization , rgb color model , computer vision , artificial intelligence , image restoration , regularization (linguistics) , computer science , mathematics , image processing , image (mathematics) , inverse problem , mathematical analysis
In this article, we consider restoring a single‐color image from two degraded frames of the same scene by a RGB sensor and a luminance sensor. The RGB‐to‐YIQ transformation, the classical Tikhonov regularization and the Neumann boundary condition are used in the restoration process. Regularization based on generalized cross‐validation function with multisensors is also used to obtain the high‐quality restored image. The resulting method is shown to provide improved restoration over other restoration methods. © 2003 Wiley Periodicals, Inc. Int J Imaging Syst Technol 12, 189–197, 2002; Published online in Wiley InterScience (www.interscience.wiley.com). DOI 10.1002/ima.10028