Color restoration from digital camera data by pattern matching

Xiaolin Wu; Wai Kin Choi; Paul Bao

doi:10.1117/12.271585

4 April 1997 Color restoration from digital camera data by pattern matching

Xiaolin Wu, Wai Kin Choi, Paul Bao

Proceedings Volume 3018, Color Imaging: Device-Independent Color, Color Hard Copy, and Graphic Arts II; (1997) https://doi.org/10.1117/12.271585
Event: Electronic Imaging '97, 1997, San Jose, CA, United States

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.

Citation Download Citation

Xiaolin Wu, Wai Kin Choi, and Paul Bao "Color restoration from digital camera data by pattern matching", Proc. SPIE 3018, Color Imaging: Device-Independent Color, Color Hard Copy, and Graphic Arts II, (4 April 1997); https://doi.org/10.1117/12.271585

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