Image Defogging Algorithm Based on Sparse Representation
Aiming at the problems of low contrast and low definition of fog degraded image, this paper proposes an image defogging algorithm based on sparse representation. Firstly, the algorithm transforms image from RGB space to HSI space and uses two-level wavelet transform extract features of image brightn...
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| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English |
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Wiley
2020-01-01
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| Series: | Complexity |
| Online Access: | http://dx.doi.org/10.1155/2020/6835367 |
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| _version_ | 1849687027936657408 |
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| author | Di Fan Xinyun Guo Xiao Lu Xiaoxin Liu Bo Sun |
| author_facet | Di Fan Xinyun Guo Xiao Lu Xiaoxin Liu Bo Sun |
| author_sort | Di Fan |
| collection | DOAJ |
| description | Aiming at the problems of low contrast and low definition of fog degraded image, this paper proposes an image defogging algorithm based on sparse representation. Firstly, the algorithm transforms image from RGB space to HSI space and uses two-level wavelet transform extract features of image brightness components. Then, it uses the K-SVD algorithm training dictionary and learns the sparse features of the fog-free image to reconstructed I-components of the fog image. Using the nonlinear stretching approach for saturation component improves the brightness of the image. Finally, convert from HSI space to RGB color space to get the defog image. Experimental results show that the algorithm can effectively improve the contrast and visual effect of the image. Compared with several common defog algorithms, the percentage of image saturation pixels is better than the comparison algorithm. |
| format | Article |
| id | doaj-art-019f88798dda44668041bdc6946ccd65 |
| institution | DOAJ |
| issn | 1076-2787 1099-0526 |
| language | English |
| publishDate | 2020-01-01 |
| publisher | Wiley |
| record_format | Article |
| series | Complexity |
| spelling | doaj-art-019f88798dda44668041bdc6946ccd652025-08-20T03:22:28ZengWileyComplexity1076-27871099-05262020-01-01202010.1155/2020/68353676835367Image Defogging Algorithm Based on Sparse RepresentationDi Fan0Xinyun Guo1Xiao Lu2Xiaoxin Liu3Bo Sun4College of Electronic and Information Engineering, Shandong University of Science and Technology, Qingdao 266590, Shandong, ChinaCollege of Electronic and Information Engineering, Shandong University of Science and Technology, Qingdao 266590, Shandong, ChinaCollege of Electronic and Information Engineering, Shandong University of Science and Technology, Qingdao 266590, Shandong, ChinaCollege of Electronic and Information Engineering, Shandong University of Science and Technology, Qingdao 266590, Shandong, ChinaCollege of Intelligent Equipment, Shandong University of Science and Technology, Tai’an 271000, Shandong, ChinaAiming at the problems of low contrast and low definition of fog degraded image, this paper proposes an image defogging algorithm based on sparse representation. Firstly, the algorithm transforms image from RGB space to HSI space and uses two-level wavelet transform extract features of image brightness components. Then, it uses the K-SVD algorithm training dictionary and learns the sparse features of the fog-free image to reconstructed I-components of the fog image. Using the nonlinear stretching approach for saturation component improves the brightness of the image. Finally, convert from HSI space to RGB color space to get the defog image. Experimental results show that the algorithm can effectively improve the contrast and visual effect of the image. Compared with several common defog algorithms, the percentage of image saturation pixels is better than the comparison algorithm.http://dx.doi.org/10.1155/2020/6835367 |
| spellingShingle | Di Fan Xinyun Guo Xiao Lu Xiaoxin Liu Bo Sun Image Defogging Algorithm Based on Sparse Representation Complexity |
| title | Image Defogging Algorithm Based on Sparse Representation |
| title_full | Image Defogging Algorithm Based on Sparse Representation |
| title_fullStr | Image Defogging Algorithm Based on Sparse Representation |
| title_full_unstemmed | Image Defogging Algorithm Based on Sparse Representation |
| title_short | Image Defogging Algorithm Based on Sparse Representation |
| title_sort | image defogging algorithm based on sparse representation |
| url | http://dx.doi.org/10.1155/2020/6835367 |
| work_keys_str_mv | AT difan imagedefoggingalgorithmbasedonsparserepresentation AT xinyunguo imagedefoggingalgorithmbasedonsparserepresentation AT xiaolu imagedefoggingalgorithmbasedonsparserepresentation AT xiaoxinliu imagedefoggingalgorithmbasedonsparserepresentation AT bosun imagedefoggingalgorithmbasedonsparserepresentation |