Local Entropy-Based Coupled Anisotropic Diffusion for Detail-And Edge-Preserving Smoothing
It is important in image restoration to remove noise while preserving sharp edges and fine details such as blurred thin edges and low-contrast fine feature. The Perona–Malik (P-M) model is a well-known anisotropic diffusion denoising model, which can effectively remove noise while preserving edges....
Saved in:
| Main Authors: | , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Wiley
2023-01-01
|
| Series: | Discrete Dynamics in Nature and Society |
| Online Access: | http://dx.doi.org/10.1155/2023/8878120 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
| _version_ | 1850181738310926336 |
|---|---|
| author | De Zhao Lan Chen |
| author_facet | De Zhao Lan Chen |
| author_sort | De Zhao |
| collection | DOAJ |
| description | It is important in image restoration to remove noise while preserving sharp edges and fine details such as blurred thin edges and low-contrast fine feature. The Perona–Malik (P-M) model is a well-known anisotropic diffusion denoising model, which can effectively remove noise while preserving edges. However, its diffusion coefficient only associates with the gradient of each pixel but not with the local region information; thus, the P-M model is not able to effectively preserve the important details of image. To address this problem, this paper proposes an anisotropic diffusion denoising model based on local entropy. The diffusion coefficient of the new model not only depends on the gradient of image but also on the local region information described by local entropy. On this basis, a coupled anisotropic diffusion scheme is proposed for detail-and edge-preserving smoothing. Experimental results show that the proposed model not only can effectively remove noise while preserving the boundaries better but also can maintain important details in an image very well. |
| format | Article |
| id | doaj-art-459a2e585adb46fcbf4542a0d140f748 |
| institution | OA Journals |
| issn | 1607-887X |
| language | English |
| publishDate | 2023-01-01 |
| publisher | Wiley |
| record_format | Article |
| series | Discrete Dynamics in Nature and Society |
| spelling | doaj-art-459a2e585adb46fcbf4542a0d140f7482025-08-20T02:17:50ZengWileyDiscrete Dynamics in Nature and Society1607-887X2023-01-01202310.1155/2023/8878120Local Entropy-Based Coupled Anisotropic Diffusion for Detail-And Edge-Preserving SmoothingDe Zhao0Lan Chen1College of Mathematics and StatisticsChildren’s Hospital of Chongqing Medical UniversityIt is important in image restoration to remove noise while preserving sharp edges and fine details such as blurred thin edges and low-contrast fine feature. The Perona–Malik (P-M) model is a well-known anisotropic diffusion denoising model, which can effectively remove noise while preserving edges. However, its diffusion coefficient only associates with the gradient of each pixel but not with the local region information; thus, the P-M model is not able to effectively preserve the important details of image. To address this problem, this paper proposes an anisotropic diffusion denoising model based on local entropy. The diffusion coefficient of the new model not only depends on the gradient of image but also on the local region information described by local entropy. On this basis, a coupled anisotropic diffusion scheme is proposed for detail-and edge-preserving smoothing. Experimental results show that the proposed model not only can effectively remove noise while preserving the boundaries better but also can maintain important details in an image very well.http://dx.doi.org/10.1155/2023/8878120 |
| spellingShingle | De Zhao Lan Chen Local Entropy-Based Coupled Anisotropic Diffusion for Detail-And Edge-Preserving Smoothing Discrete Dynamics in Nature and Society |
| title | Local Entropy-Based Coupled Anisotropic Diffusion for Detail-And Edge-Preserving Smoothing |
| title_full | Local Entropy-Based Coupled Anisotropic Diffusion for Detail-And Edge-Preserving Smoothing |
| title_fullStr | Local Entropy-Based Coupled Anisotropic Diffusion for Detail-And Edge-Preserving Smoothing |
| title_full_unstemmed | Local Entropy-Based Coupled Anisotropic Diffusion for Detail-And Edge-Preserving Smoothing |
| title_short | Local Entropy-Based Coupled Anisotropic Diffusion for Detail-And Edge-Preserving Smoothing |
| title_sort | local entropy based coupled anisotropic diffusion for detail and edge preserving smoothing |
| url | http://dx.doi.org/10.1155/2023/8878120 |
| work_keys_str_mv | AT dezhao localentropybasedcoupledanisotropicdiffusionfordetailandedgepreservingsmoothing AT lanchen localentropybasedcoupledanisotropicdiffusionfordetailandedgepreservingsmoothing |