Image contrast enhancement brightness preservation using optimal gamma correction and weighted sum
The enhancement of image contrast and preservation of image brightness are two important but conflicting objectives in image restoration. Previous attempts based on linear histogram equalization had achieved contrast enhancement, but exact preservation of brightness was not accomplished. A new perspective is taken here to provide balanced performance of contrast enhancement and brightness preservation simultaneously by casting the quest of such solution to an optimization problem. Specifically, the non-linear gamma correction method is adopted to enhance the contrast, while a weighted sum approach is employed for brightness preservation. In addition, the efficient golden search algorithm is exploited to determine the required optimal parameters to produce the enhanced images.
인용 양식
DrNMKwokGroup (2025). Image contrast enhancement brightness preservation using optimal gamma correction and weighted sum (https://kr.mathworks.com/matlabcentral/fileexchange/60513-image-contrast-enhancement-brightness-preservation-using-optimal-gamma-correction-and-weighted-sum), MATLAB Central File Exchange. 검색 날짜: .
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- Image Processing and Computer Vision > Image Processing Toolbox > Image Filtering and Enhancement > Contrast Adjustment >
- Image Processing and Computer Vision > Computer Vision Toolbox > Recognition, Object Detection, and Semantic Segmentation > Image Category Classification >
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