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Color correction of faded images using multi-scale gray world algorithm

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Title Color correction of faded images using multi-scale gray world algorithm
Alternative Title Color correction of faded images using multiscale gray world algorithm
Title of Series The Sixth European Conference on Colour in Graphics, Imaging and Vision (CGIV 2012)
Part Number 26
Number of Parts 31
Author Kyung, Wang-Jun
Kim, Dae-Chul
Fierro, Massimo
Ha, Yeong-Ho
License CC Attribution - NoDerivatives 2.0 UK: England & Wales:
You are free to use, copy, distribute and transmit the work or content in unchanged form for any legal purpose as long as the work is attributed to the author in the manner specified by the author or licensor.
DOI 10.5446/31449
Publisher River Valley TV
Release Date 2012
Language English

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Subject Area Information technology
Abstract The enhancement of faded color on old pictures, printings, and paintings is one of important issue in color image processing. Several techniques have been introduced to enhance the faded images. Almost techniques are performed with global illuminant estimation algorithms such as the gray world assumption and white patch Retinex methods, since the phenomenon of color fading is regarded as an illuminant effect. However, fading effect is shown up differently according to the ink property, temperature, humidity, illuminants, and so on. Therefore simple global operators to eliminate the illuminant effects are not suitable for enhancing faded images. This paper presents a color enhancement algorithm based on multi-scale gray world algorithm for faded images. First, the proposed method adopts local process by using multi-scale mask. The coefficients for each multi-scale mask are obtained to apply the gray world algorithm. Then, integrating the coefficients with weights is performed to calculate correction ratio for red and blue channels in the gray world assumption. Finally, the enhanced image is obtained by applying the integrated coefficients to the gray world algorithm. In the experimental results, the proposed method reproduces better colors for both wholly and partially faded images compared with the previous methods.

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