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Image contrast enhancement with brightness preservation using an optimal gamma correction and weighted sum approach

机译:使用最佳伽玛校正和加权和方法保持亮度的图像对比度增强

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摘要

© 2015 Taylor & Francis. 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. Experiments are conducted on natural colour images captured under various indoor, outdoor and illumination conditions. Results have shown that the proposed method outperforms currently available methods in contrast to enhancement and brightness preservation.
机译:©2015泰勒和弗朗西斯。图像对比度的增强和图像亮度的保持是图像恢复中两个重要但相互矛盾的目标。先前基于线性直方图均衡化的尝试已经实现了对比度增强,但是没有实现精确的亮度保持。这里采用了新的观点,即通过将这种解决方案的任务投向优化问题,从而同时提供对比度增强和亮度保持的平衡性能。具体地,采用非线性伽马校正方法来增强对比度,而采用加权和的方法来保持亮度。另外,利用了有效的黄金搜索算法来确定生成增强图像所需的最佳参数。实验是在各种室内,室外和照明条件下拍摄的自然彩色图像上进行的。结果表明,与增强和亮度保持相反,所提出的方法优于目前可用的方法。

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