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Proceedings Paper

Color restoration from digital camera data by pattern matching
Author(s): Xiaolin Wu; Wai Kin Choi; Paul Bao
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Paper Abstract

Digital cameras are gaining popularity in many applications of multimedia information processing. But the CCD sensor used by digital cameras does not provide all three red, green, blue primaries for each pixel. Instead it uses an interlaced sampling scheme with only one primary per pixel. This article considers the problem of reconstructing a 24- bit/pixel color image from the interlaced sampling. A simple, efficient, and effective algorithm for color restoration from digital camera data is proposed. The proposed algorithm uses a pattern matching technique to reconstruct the missing color primaries based on the pixel contexts. Experimental results show that the proposed algorithm outperforms the technique of color interpolation.

Paper Details

Date Published: 4 April 1997
PDF: 6 pages
Proc. SPIE 3018, Color Imaging: Device-Independent Color, Color Hard Copy, and Graphic Arts II, (4 April 1997); doi: 10.1117/12.271585
Show Author Affiliations
Xiaolin Wu, Univ. of Western Ontario (Canada)
Wai Kin Choi, Univ. of Western Ontario (Hong Kong)
Paul Bao, Hong Kong Polytechnic Univ. (Hong Kong)


Published in SPIE Proceedings Vol. 3018:
Color Imaging: Device-Independent Color, Color Hard Copy, and Graphic Arts II
Giordano B. Beretta; Reiner Eschbach, Editor(s)

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