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Title: Enhanced Color Correction Using Histogram Stretching Based On Modified Gray World and White Patch Algorithms

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Title:
Enhanced Color Correction Using Histogram Stretching Based On Modified Gray World and White Patch Algorithms
Author Name:
Manjinder Singh, Dr. Sandeep Sharma
Abstract:
Color constancy is the capability to determine colors of objects independent of the color of the light source. This paper deals with the different color constancy algorithms to evaluate the performance of existing color constancy algorithms. The combined effect of two color constancy algorithms i.e. White Patch Retinex (WPR) and Gray World (GW) and gamma correction used for dynamic range correction for image enhancement. The main limitation of the color constancy integrated with gamma correction proves to be efficient for dark regions but produce poor results for brighter regions. To reduce this problem in this paper we have proposed a new algorithm which will integrate the color constancy with histogram stretching and average filter to provide accurate results in dark, medium and brighter regions. The proposed algorithm is designed and implemented in MATLAB using image processing toolbox. The proposed algorithm provides significant as it has shown significantly better results in poor, high and medium intensity images as well as it reduce noise which may be introduced during color correction time.
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