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LOCAL IMAGE CONTRAST ENHANCEMENT UNDER NONUNIFORM ILLUMINATION

机译:非均匀照明下局部图像对比度增强

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摘要

Most existing global contrast enhancement algorithm can not deal with high dynamic range images which are often under non-uniform illumination. Thus a simplified logarithmic transformation equation has been proposed in this paper to meet this demand. Furthermore a partially overlapped subblock method is also adopted to perform local contrast enhancement. For purpose of optimization, two contrast measures are used for finding optimal transformation parameters. They merge into a new algorithm, called POSLT (Partially Overlapped Sub-block Logarithmic transformation). POSLT exhibits good performance and Controllability even if it has high computational complexity. Our experimental results show its local adaptation for contrast enhancement, the results give firmly support to POSLT.
机译:大多数现有的全局对比度增强算法不能处理通常在不均匀照明下的高动态范围图像。因此,本文提出了一种简化的对数变换方程来满足这一需求。此外,还采用部分重叠的子块方法来执行局部对比度增强。为了优化,使用了两个对比测量来找到最佳变换参数。它们合并为一个新算法,称为POSLT(部分重叠的子块对数变换)。即使POSLT具有很高的计算复杂度,它仍具有良好的性能和可控性。我们的实验结果表明,它可以局部增强对比度,这为POSLT提供了有力的支持。

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