Coupling image denoising model based on total variation
The total variation (TV) model used in image denoising may produce “staircase effect”. A coupling image de-noising model based on total variation was proposed. First, a trend fidelity term based on the change tendency of image gradient was established. The fidelity term could not only remove image n...
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| Format: | Article |
| Language: | zho |
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Editorial Department of Journal on Communications
2016-04-01
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| Series: | Tongxin xuebao |
| Subjects: | |
| Online Access: | http://www.joconline.com.cn/zh/article/doi/10.11959/j.issn.1000-436x.2016085/ |
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| _version_ | 1841539602510249984 |
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| author | Mei-ling WANG Xian-chun ZHOU Lin-feng ZHOU Lan-fang SHI |
| author_facet | Mei-ling WANG Xian-chun ZHOU Lin-feng ZHOU Lan-fang SHI |
| author_sort | Mei-ling WANG |
| collection | DOAJ |
| description | The total variation (TV) model used in image denoising may produce “staircase effect”. A coupling image de-noising model based on total variation was proposed. First, a trend fidelity term based on the change tendency of image gradient was established. The fidelity term could not only remove image noise, but also restrain “staircase effect”. Then, wavelet was used to decompose coefficient in frequency domain, control based on the edge detection ability of Canny algorithm were designed. The control functions control energy spread direction, the advantages of TV model and trend fidelity term are maintained, edge and texture details were protected, and “staircase effect'' was also suppressed. Experiment results show that peak signal to noise ratio (PSNR), structure similarity (SSIM) and visual effects of the nov-el model are much better. Moreover, the running time of the novel model is shorter. |
| format | Article |
| id | doaj-art-b1e23840ddfa4337a296d01c80339270 |
| institution | Kabale University |
| issn | 1000-436X |
| language | zho |
| publishDate | 2016-04-01 |
| publisher | Editorial Department of Journal on Communications |
| record_format | Article |
| series | Tongxin xuebao |
| spelling | doaj-art-b1e23840ddfa4337a296d01c803392702025-01-14T06:55:18ZzhoEditorial Department of Journal on CommunicationsTongxin xuebao1000-436X2016-04-013718219159700685Coupling image denoising model based on total variationMei-ling WANGXian-chun ZHOULin-feng ZHOULan-fang SHIThe total variation (TV) model used in image denoising may produce “staircase effect”. A coupling image de-noising model based on total variation was proposed. First, a trend fidelity term based on the change tendency of image gradient was established. The fidelity term could not only remove image noise, but also restrain “staircase effect”. Then, wavelet was used to decompose coefficient in frequency domain, control based on the edge detection ability of Canny algorithm were designed. The control functions control energy spread direction, the advantages of TV model and trend fidelity term are maintained, edge and texture details were protected, and “staircase effect'' was also suppressed. Experiment results show that peak signal to noise ratio (PSNR), structure similarity (SSIM) and visual effects of the nov-el model are much better. Moreover, the running time of the novel model is shorter.http://www.joconline.com.cn/zh/article/doi/10.11959/j.issn.1000-436x.2016085/image denoisingCanny algorithmtrend fidelity termcontrol function |
| spellingShingle | Mei-ling WANG Xian-chun ZHOU Lin-feng ZHOU Lan-fang SHI Coupling image denoising model based on total variation Tongxin xuebao image denoising Canny algorithm trend fidelity term control function |
| title | Coupling image denoising model based on total variation |
| title_full | Coupling image denoising model based on total variation |
| title_fullStr | Coupling image denoising model based on total variation |
| title_full_unstemmed | Coupling image denoising model based on total variation |
| title_short | Coupling image denoising model based on total variation |
| title_sort | coupling image denoising model based on total variation |
| topic | image denoising Canny algorithm trend fidelity term control function |
| url | http://www.joconline.com.cn/zh/article/doi/10.11959/j.issn.1000-436x.2016085/ |
| work_keys_str_mv | AT meilingwang couplingimagedenoisingmodelbasedontotalvariation AT xianchunzhou couplingimagedenoisingmodelbasedontotalvariation AT linfengzhou couplingimagedenoisingmodelbasedontotalvariation AT lanfangshi couplingimagedenoisingmodelbasedontotalvariation |