RESEARCH ON THE IMPROVED IMAGE DODGING ALGORITHM BASED ON MASK TECHNIQUE

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 the...

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Main Authors: F. Yao, H. Hu, Y. Wan
Format: Article
Language:English
Published: Copernicus Publications 2012-08-01
Series:The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences
Online Access:https://www.int-arch-photogramm-remote-sens-spatial-inf-sci.net/XXXIX-B3/519/2012/isprsarchives-XXXIX-B3-519-2012.pdf
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author F. Yao
H. Hu
Y. Wan
author_facet F. Yao
H. Hu
Y. Wan
author_sort F. Yao
collection DOAJ
description 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.
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spelling doaj.art-33cf85b4033a4cd49328670c0d72d95b2022-12-21T23:21:24ZengCopernicus PublicationsThe International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences1682-17502194-90342012-08-01XXXIX-B351952410.5194/isprsarchives-XXXIX-B3-519-2012RESEARCH ON THE IMPROVED IMAGE DODGING ALGORITHM BASED ON MASK TECHNIQUEF. Yao0H. Hu1Y. Wan2School of Remote Sensing Information and Engineering, Wuhan University, Luoyu Road, Wuhan, ChinaSchool of Remote Sensing Information and Engineering, Wuhan University, Luoyu Road, Wuhan, ChinaSchool of Remote Sensing Information and Engineering, Wuhan University, Luoyu Road, Wuhan, ChinaThe 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.https://www.int-arch-photogramm-remote-sens-spatial-inf-sci.net/XXXIX-B3/519/2012/isprsarchives-XXXIX-B3-519-2012.pdf
spellingShingle F. Yao
H. Hu
Y. Wan
RESEARCH ON THE IMPROVED IMAGE DODGING ALGORITHM BASED ON MASK TECHNIQUE
The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences
title RESEARCH ON THE IMPROVED IMAGE DODGING ALGORITHM BASED ON MASK TECHNIQUE
title_full RESEARCH ON THE IMPROVED IMAGE DODGING ALGORITHM BASED ON MASK TECHNIQUE
title_fullStr RESEARCH ON THE IMPROVED IMAGE DODGING ALGORITHM BASED ON MASK TECHNIQUE
title_full_unstemmed RESEARCH ON THE IMPROVED IMAGE DODGING ALGORITHM BASED ON MASK TECHNIQUE
title_short RESEARCH ON THE IMPROVED IMAGE DODGING ALGORITHM BASED ON MASK TECHNIQUE
title_sort research on the improved image dodging algorithm based on mask technique
url https://www.int-arch-photogramm-remote-sens-spatial-inf-sci.net/XXXIX-B3/519/2012/isprsarchives-XXXIX-B3-519-2012.pdf
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