DEMOSAICING METHODS and MOIRE ANALYSIS

Adaptive fuzzy color interpolation

[+] Author Affiliations
Ping-Sing Tsai

Intel Corporation, Desktop Architecture Laboratory, Chandler, Arizona?85226 E-mail: pstsai@ieee.org

Tinku Acharya

Intel Corporation, Desktop Architecture Laboratory, Chandler, Arizona?85226

Arizona State University, Department of Electrical Engineering, Tempe, Arizona?85287

Ajay K. Ray

Indian Institute of Technology, Department of Electronics and Electrical Communication Engineering, Kharagpur, India

J. Electron. Imaging. 11(3), 293-305 (Jul 01, 2002). doi:10.1117/1.1479702
History: Received May 30, 2001; Revised Nov. 30, 2001; Accepted Dec. 7, 2001; Online July 25, 2002
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In an electronic color imaging device, such as a digital camera, using a single charge coupled device or complementary metal–oxide–semiconductor sensor, color information is usually acquired in subsampled patterns of red, green and blue pixels. Full resolution color is subsequently generated from this subsampled image. This is popularly called color interpolation or color demosaicing. In this paper, we present a color interpolation algorithm using a method of fuzzy membership assignment along with the concept of smooth hue transition. The algorithm is adaptive in nature and produces superior quality full resolution color images compared to most of the popularly known color interpolation algorithms reported in the literature. We present the results of a comparison with some challenging subsampled images for color interpolation. © 2002 SPIE and IS&T.

© 2002 SPIE and IS&T

Citation

Ping-Sing Tsai ; Tinku Acharya and Ajay K. Ray
"Adaptive fuzzy color interpolation", J. Electron. Imaging. 11(3), 293-305 (Jul 01, 2002). ; http://dx.doi.org/10.1117/1.1479702


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