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Image Processing
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Color Image Enhancement based on Segmentation Region Histogram Equalization
5. Conclusion
Histogram equalization is powerful method for increasing the contrast of image. The enhanced image will give the full dynamic range of histogram. However, the global histogram equalization process tries to merge the adjacent gray levels together in order to force the uniformity of number of pixels in each appeared gray levels. Consequently, the intensity saturation will be presented in darkness regions and whiteness region. Also the pixels located in the border of two regions which are not too different in gray levels will be grouped together. But, for our propose, we separate out these two regions first and then exploit the histogram equalization to each region independently. Therefore, the mentioned defects can be overcome.
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