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Proceedings Paper

Color correction with edge preserving and minimal SNR decrease using multi-layer decomposition
Author(s): Byung Kwan Park; Wonhee Choe; JaeGuyn Lim; SeongDeok Lee; ChangYeong Kim
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Paper Abstract

This paper describes the method related to correcting color distortion in color imaging. Acquiring color images from CMOS or CCD digital sensors can suffer from color distortion, which means that the image from sensors is different from the original image in the color space. The main reasons are the cross-talks between adjacent pixels, the color pigment characteristic's mismatch with human perception and infra-red (IR) influx to visible channel or red, green, blue (RGB) due to IR cutoff filter imperfection. To correct this distortion, existing methods use multiplying gain coefficients in each color channel and this multiplication can cause noise boost and loss of detail information. This paper proposes the novel method which can not only preserve color distortion correction ability, but also suppress noise boost and loss of detail information in the color correction process of IR corrupted pixels. In the case of non-IR corruption pixels, the use of image before color correction instead of IR image makes this kind of method available. Specifically the color and low frequency information in luminance channel is extracted from the color corrected image. And high frequency information is from the IR image or the image before color correction. The method extracting the low and high frequency information use multi-layer decomposition skill with edge preserving filters.

Paper Details

Date Published: 10 February 2012
PDF: 7 pages
Proc. SPIE 8296, Computational Imaging X, 829613 (10 February 2012); doi: 10.1117/12.907987
Show Author Affiliations
Byung Kwan Park, Samsung Electronics Co., Ltd. (Korea, Republic of)
Wonhee Choe, Samsung Electronics Co., Ltd. (Korea, Republic of)
JaeGuyn Lim, Samsung Electronics Co., Ltd. (Korea, Republic of)
SeongDeok Lee, Samsung Electronics Co., Ltd. (Korea, Republic of)
ChangYeong Kim, Samsung Electronics Co., Ltd. (Korea, Republic of)

Published in SPIE Proceedings Vol. 8296:
Computational Imaging X
Charles A. Bouman; Ilya Pollak; Patrick J. Wolfe, Editor(s)

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