Noise variance estimation based on image segmentation
A new two-step noise variance estimation algorithm was proposed based on image segmentation. In the first step, a noisy image was smoothed and was segmented by the statistical region merge (SRM) algorithm, then the variance of each region was computed, and some regions were selected based on the sta...
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| Format: | Article |
| Language: | zho |
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Science Press
2015-09-01
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| Series: | 工程科学学报 |
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| Online Access: | http://cje.ustb.edu.cn/article/doi/10.13374/j.issn2095-9389.2015.09.016 |
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| _version_ | 1850184649304702976 |
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| author | WANG Zhi-ming |
| author_facet | WANG Zhi-ming |
| author_sort | WANG Zhi-ming |
| collection | DOAJ |
| description | A new two-step noise variance estimation algorithm was proposed based on image segmentation. In the first step, a noisy image was smoothed and was segmented by the statistical region merge (SRM) algorithm, then the variance of each region was computed, and some regions were selected based on the statistical rule to estimate the noise variance. In the second step, the parame-ters of filtering, segmentation and estimation were revised according to the estimated noise variance, and a new cycle of image filte-ring, segmentation and estimation was performed to obtain more accurate estimation. Experimental results on large numbers of images and various noises show that the proposed algorithm can estimate the noise variance quickly and accurately. |
| format | Article |
| id | doaj-art-3add7cc1fa6f49b4be052b07875af940 |
| institution | OA Journals |
| issn | 2095-9389 |
| language | zho |
| publishDate | 2015-09-01 |
| publisher | Science Press |
| record_format | Article |
| series | 工程科学学报 |
| spelling | doaj-art-3add7cc1fa6f49b4be052b07875af9402025-08-20T02:16:59ZzhoScience Press工程科学学报2095-93892015-09-013791218122410.13374/j.issn2095-9389.2015.09.016Noise variance estimation based on image segmentationWANG Zhi-ming0School of Computer and Communication Engineering, University of Science and Technology Beijing, Beijing 100083, ChinaA new two-step noise variance estimation algorithm was proposed based on image segmentation. In the first step, a noisy image was smoothed and was segmented by the statistical region merge (SRM) algorithm, then the variance of each region was computed, and some regions were selected based on the statistical rule to estimate the noise variance. In the second step, the parame-ters of filtering, segmentation and estimation were revised according to the estimated noise variance, and a new cycle of image filte-ring, segmentation and estimation was performed to obtain more accurate estimation. Experimental results on large numbers of images and various noises show that the proposed algorithm can estimate the noise variance quickly and accurately.http://cje.ustb.edu.cn/article/doi/10.13374/j.issn2095-9389.2015.09.016noisevariance analysisestimation algorithmsimage segmentation |
| spellingShingle | WANG Zhi-ming Noise variance estimation based on image segmentation 工程科学学报 noise variance analysis estimation algorithms image segmentation |
| title | Noise variance estimation based on image segmentation |
| title_full | Noise variance estimation based on image segmentation |
| title_fullStr | Noise variance estimation based on image segmentation |
| title_full_unstemmed | Noise variance estimation based on image segmentation |
| title_short | Noise variance estimation based on image segmentation |
| title_sort | noise variance estimation based on image segmentation |
| topic | noise variance analysis estimation algorithms image segmentation |
| url | http://cje.ustb.edu.cn/article/doi/10.13374/j.issn2095-9389.2015.09.016 |
| work_keys_str_mv | AT wangzhiming noisevarianceestimationbasedonimagesegmentation |