Feature Extraction for Patch Matching in Patch-Based Denoising Methods
Patch-based image denoising is a popular topic in recent years. In existing works, the distance between two patches was calculated as their Euclidian distance. When the noise level is high, this approach may not be desirable in image denoising. In this paper, we propose to extract noise-robust featu...
| Main Authors: | , |
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| Format: | Article |
| Language: | English |
| Published: |
Slovenian Society for Stereology and Quantitative Image Analysis
2022-11-01
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| Series: | Image Analysis and Stereology |
| Subjects: | |
| Online Access: | https://www.ias-iss.org/ojs/IAS/article/view/2812 |
| _version_ | 1811316335671508992 |
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| author | Guangyi Chen Adam Krzyzak |
| author_facet | Guangyi Chen Adam Krzyzak |
| author_sort | Guangyi Chen |
| collection | DOAJ |
| description | Patch-based image denoising is a popular topic in recent years. In existing works, the distance between two patches was calculated as their Euclidian distance. When the noise level is high, this approach may not be desirable in image denoising. In this paper, we propose to extract noise-robust feature vectors from image patches and match the image patches by their Euclidian distance of the feature vectors for grey scale image denoising. Our modification takes advantage of the fact that the mean of the Gaussian white noise is zero. For every patch in the noisy image, we use lines to divide the patch into two regions with equal area and we take the mean of the right region for each line. Hence, a number of features can be extracted. We use these extracted features to match the patches in the noisy image. By introducing feature-based patch matching, our method performs favourably for highly noisy images. |
| first_indexed | 2024-04-13T11:48:19Z |
| format | Article |
| id | doaj.art-5c50bf575aa94a59800b26eaabc4e5f6 |
| institution | Directory Open Access Journal |
| issn | 1580-3139 1854-5165 |
| language | English |
| last_indexed | 2024-04-13T11:48:19Z |
| publishDate | 2022-11-01 |
| publisher | Slovenian Society for Stereology and Quantitative Image Analysis |
| record_format | Article |
| series | Image Analysis and Stereology |
| spelling | doaj.art-5c50bf575aa94a59800b26eaabc4e5f62022-12-22T02:48:08ZengSlovenian Society for Stereology and Quantitative Image AnalysisImage Analysis and Stereology1580-31391854-51652022-11-0141321722710.5566/ias.28121084Feature Extraction for Patch Matching in Patch-Based Denoising MethodsGuangyi Chen0Adam Krzyzak1Concordia UniversityConcordia UniversityPatch-based image denoising is a popular topic in recent years. In existing works, the distance between two patches was calculated as their Euclidian distance. When the noise level is high, this approach may not be desirable in image denoising. In this paper, we propose to extract noise-robust feature vectors from image patches and match the image patches by their Euclidian distance of the feature vectors for grey scale image denoising. Our modification takes advantage of the fact that the mean of the Gaussian white noise is zero. For every patch in the noisy image, we use lines to divide the patch into two regions with equal area and we take the mean of the right region for each line. Hence, a number of features can be extracted. We use these extracted features to match the patches in the noisy image. By introducing feature-based patch matching, our method performs favourably for highly noisy images.https://www.ias-iss.org/ojs/IAS/article/view/2812additive gaussian white noiseimage denoisingpatch-based image denoising |
| spellingShingle | Guangyi Chen Adam Krzyzak Feature Extraction for Patch Matching in Patch-Based Denoising Methods Image Analysis and Stereology additive gaussian white noise image denoising patch-based image denoising |
| title | Feature Extraction for Patch Matching in Patch-Based Denoising Methods |
| title_full | Feature Extraction for Patch Matching in Patch-Based Denoising Methods |
| title_fullStr | Feature Extraction for Patch Matching in Patch-Based Denoising Methods |
| title_full_unstemmed | Feature Extraction for Patch Matching in Patch-Based Denoising Methods |
| title_short | Feature Extraction for Patch Matching in Patch-Based Denoising Methods |
| title_sort | feature extraction for patch matching in patch based denoising methods |
| topic | additive gaussian white noise image denoising patch-based image denoising |
| url | https://www.ias-iss.org/ojs/IAS/article/view/2812 |
| work_keys_str_mv | AT guangyichen featureextractionforpatchmatchinginpatchbaseddenoisingmethods AT adamkrzyzak featureextractionforpatchmatchinginpatchbaseddenoisingmethods |