An Image Enhancement Algorithm based on Color Constancy and Histogram Equalization using Edge Region
Autor: | Whoi-Yul Kim, Dong-Chan Cho, Hyung-Sub Kang |
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Rok vydání: | 2010 |
Předmět: |
Color histogram
Color constancy Computer science business.industry Color normalization Balanced histogram thresholding ComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISION Histogram matching Computer Science::Computer Vision and Pattern Recognition Computer vision Adaptive histogram equalization Artificial intelligence business Image histogram Histogram equalization |
Zdroj: | Journal of Broadcast Engineering. 15:332-345 |
ISSN: | 1226-7953 |
DOI: | 10.5909/jbe.2010.15.3.332 |
Popis: | A unified image enhancement method is proposed for high-resolution image which based on color constancy and histogram equalization using edge region. To speed up the method, smaller image is used when parameters of color constancy and histogram equalization are determined. In the color constancy process, nth-derivative of gaussian is applied to x and y axis separately in order to estimate the color of the illumination rapidly. In the histogram equalization process, the histogram obtained from near-edge region is used for the histogram equalization. In the experiments, high-resolution images taken by digital camcorder are used for verifying the performance of the proposed method. |
Databáze: | OpenAIRE |
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