文章基本信息

标题：RESEARCH ON THE IMPROVED IMAGE DODGING ALGORITHM BASED ON MASK TECHNIQUE
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作者：F. Yao ; H. Hu ; Y. Wan 等
期刊名称：ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences
印刷版ISSN：2194-9042
电子版ISSN：2194-9050
出版年度：2012
卷号：XXXIX-B3
页码：519-524
DOI：10.5194/isprsarchives-XXXIX-B3-519-2012
出版社：Copernicus Publications
摘要：The remote sensing image dodging algorithm based on Mask technique is a good method for removing the uneven lightness within a single image. However, there are some problems with this algorithm, such as how to set an appropriate filter size, for which there is no good solution. In order to solve these problems, an improved algorithm is proposed. In this improved algorithm, the original image is divided into blocks, and then the image blocks with different definitions are smoothed using the low-pass filters with different cut-off frequencies to get the background image; for the image after subtraction, the regions with different lightness are processed using different linear transformation models. The improved algorithm can get a better dodging result than the original one, and can make the contrast of the whole image more consistent
关键词：Remote sensing images; dodging; Mask; image quality; assessment