Mission-critical monitoring based on surround suppression variational Retinex enhancement for non-uniform illumination images
Abstract In this letter, a surround suppression variational Retinex enhancement algorithm (SSVR) is proposed for non-uniform illumination images. Instead of a gradient module, a surround suppression mechanism is used to provide spatial information in order to constrain the total variation regulariza...
| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
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SpringerOpen
2017-05-01
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| Series: | EURASIP Journal on Wireless Communications and Networking |
| Subjects: | |
| Online Access: | http://link.springer.com/article/10.1186/s13638-017-0872-9 |
| _version_ | 1819206104414945280 |
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| author | Zhitao Rao Tingfa Xu Hongqing Wang |
| author_facet | Zhitao Rao Tingfa Xu Hongqing Wang |
| author_sort | Zhitao Rao |
| collection | DOAJ |
| description | Abstract In this letter, a surround suppression variational Retinex enhancement algorithm (SSVR) is proposed for non-uniform illumination images. Instead of a gradient module, a surround suppression mechanism is used to provide spatial information in order to constrain the total variation regularization strength of the illumination and reflectance. The proposed strategy preserves the boundary areas in the illumination so that halo artifacts are prevented. It also preserves textural details in the reflectance to prevent from illumination compression, which further contributes to the contrast enhancement in the resulting image. In addition, strong regularization strength is enforced to eliminate uneven intensities in the homogeneous areas. The split Bregman optimization algorithm is employed to solve the proposed model. Finally, after decomposition, a contrast gain is added to reflectance for contrast enhancement, and a Laplacian-based gamma correction is added to illumination for prevent color cast. The recombination of the modified reflectance and illumination become the final result. Experimental results demonstrate that the proposed SSVR algorithm performs better than other methods. |
| first_indexed | 2024-12-23T05:02:18Z |
| format | Article |
| id | doaj.art-4d0bfc23c07d4719a9183a6cb23022a1 |
| institution | Directory Open Access Journal |
| issn | 1687-1499 |
| language | English |
| last_indexed | 2024-12-23T05:02:18Z |
| publishDate | 2017-05-01 |
| publisher | SpringerOpen |
| record_format | Article |
| series | EURASIP Journal on Wireless Communications and Networking |
| spelling | doaj.art-4d0bfc23c07d4719a9183a6cb23022a12022-12-21T17:59:11ZengSpringerOpenEURASIP Journal on Wireless Communications and Networking1687-14992017-05-012017111210.1186/s13638-017-0872-9Mission-critical monitoring based on surround suppression variational Retinex enhancement for non-uniform illumination imagesZhitao Rao0Tingfa Xu1Hongqing Wang2School of Optoelectronics, Image Engineering andVideo Technology Lab, Beijing Institute of TechnologySchool of Optoelectronics, Image Engineering andVideo Technology Lab, Beijing Institute of TechnologySchool of Optoelectronics, Image Engineering andVideo Technology Lab, Beijing Institute of TechnologyAbstract In this letter, a surround suppression variational Retinex enhancement algorithm (SSVR) is proposed for non-uniform illumination images. Instead of a gradient module, a surround suppression mechanism is used to provide spatial information in order to constrain the total variation regularization strength of the illumination and reflectance. The proposed strategy preserves the boundary areas in the illumination so that halo artifacts are prevented. It also preserves textural details in the reflectance to prevent from illumination compression, which further contributes to the contrast enhancement in the resulting image. In addition, strong regularization strength is enforced to eliminate uneven intensities in the homogeneous areas. The split Bregman optimization algorithm is employed to solve the proposed model. Finally, after decomposition, a contrast gain is added to reflectance for contrast enhancement, and a Laplacian-based gamma correction is added to illumination for prevent color cast. The recombination of the modified reflectance and illumination become the final result. Experimental results demonstrate that the proposed SSVR algorithm performs better than other methods.http://link.springer.com/article/10.1186/s13638-017-0872-9Image enhancementSurround suppression variational RetinexNon-uniform illumination imagesSplit Bregman optimizationContrast gainLaplacian-based gamma correction |
| spellingShingle | Zhitao Rao Tingfa Xu Hongqing Wang Mission-critical monitoring based on surround suppression variational Retinex enhancement for non-uniform illumination images EURASIP Journal on Wireless Communications and Networking Image enhancement Surround suppression variational Retinex Non-uniform illumination images Split Bregman optimization Contrast gain Laplacian-based gamma correction |
| title | Mission-critical monitoring based on surround suppression variational Retinex enhancement for non-uniform illumination images |
| title_full | Mission-critical monitoring based on surround suppression variational Retinex enhancement for non-uniform illumination images |
| title_fullStr | Mission-critical monitoring based on surround suppression variational Retinex enhancement for non-uniform illumination images |
| title_full_unstemmed | Mission-critical monitoring based on surround suppression variational Retinex enhancement for non-uniform illumination images |
| title_short | Mission-critical monitoring based on surround suppression variational Retinex enhancement for non-uniform illumination images |
| title_sort | mission critical monitoring based on surround suppression variational retinex enhancement for non uniform illumination images |
| topic | Image enhancement Surround suppression variational Retinex Non-uniform illumination images Split Bregman optimization Contrast gain Laplacian-based gamma correction |
| url | http://link.springer.com/article/10.1186/s13638-017-0872-9 |
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