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Faded Color Correction using Classification Map in LCybCrg Color Space  

Kyung, Wang-Jun (School of Electronics Engineering, Kyungpook National University)
Kim, Dae-Chul (School of Electronics Engineering, Kyungpook National University)
Lee, Cheol-Hee (Computer Engineering, Andong National University)
Ha, Yeong-Ho (School of Electronics Engineering, Kyungpook National University)
Publication Information
Journal of the Institute of Electronics Engineers of Korea SP / v.49, no.2, 2012 , pp. 1-7 More about this Journal
Abstract
Generally, correction methods for faded images use illuminant estimation algorithms, such as the gray world assumption and white patch Retinex methods, as the phenomenon of color fading is regarded as an illuminant effect. However, this induces inaccurate faded color correction, as images fade at different rates according to the ink property, temperature, humidity, and illuminant. Therefore, this paper presents a color correction method for faded images using classification in LCybCrg color space. The input faded image is first separated according to the chromaticity based on LCybCrg opponent color space. The faded color correction is then performed based on the gray world assumption in RGB color space. Thereafter, weights calculated from CybCrg values are applied to reduce contour artifacts. As a result, the proposed method provides better color correction for faded images than previous methods.
Keywords
Faded photo correction; Gray world assumption; LCybCrg color space; Classification map;
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