Revisiting Image Vignetting Correction by Constrained Minimization of Log-Intensity Entropy
Revisiting Image Vignetting Correction by Constrained Minimization of Log-Intensity Entropy
复制标题
通过对数强度熵的约束最小化重新审视图像渐晕校正
DOI：
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发表时间：
2015
期刊：
影响因子：
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通讯作者：
S. Massanet
中科院分区：
文献类型：
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作者：
Laura Lopez;G. Oliver;S. Massanet
数字图像晕影效应的校正是计算机视觉应用中的一个关键的前处理步骤。本文对基于图像对数强度熵最小化的图像晕影校正算法进行了修正和改进。特别是，新算法通过搜索图像的光学中心，能够处理不在图像中心的晕影图像。实验结果表明，新算法在定性和定量两个方面都明显优于原算法。使用具有添加了人工晕化的图像的图像数据库来获得定量测量。
The correction of the vignetting effect in digital images is a key pre-processing step in several computer vision applications. In this paper, some corrections and improvements to the image vignetting correction algorithm based on the minimization of the log-intensity entropy of the image are proposed. In particular, the new algorithm is able to deal with images with a vignetting that is not in the center of the image through the search of the optical center of the image. The experimental results show that this new version outperforms notably the original algorithm both from the qualitative and the quantitative point of view. The quantitative measures are obtained using an image database with images to which artificial vignetting has been added.