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A Block-Grouping Method for Image Denoising by Block Matching and 3-D Transform Filtering | ||
| International Journal of Communications and Information Technology | ||
| مقاله 8، دوره 1، شماره 2، زمستان 2012، صفحه 34-38 اصل مقاله (825.58 K) | ||
| نوع مقاله: Research Paper | ||
| شناسه دیجیتال (DOI): 10.22111/cit.2011.100 | ||
| نویسندگان | ||
| M. Shirdel؛ M. Rezaei؛ F. Mohanna؛ J. Ahmadi-Shokouh | ||
| University of Sistan and Baluchestan | ||
| چکیده | ||
| Image denoising by block matching and threedimensional transform filtering (BM3D) is a two steps state-ofthe- art algorithm that uses the redundancy of similar blocks in noisy image for removing noise. Similar blocks which can have some overlap are found by a block matching method and grouped to make 3-D blocks for 3-D transform filtering. In this paper we propose a new block grouping algorithm in the first step of BM3D that improves the performance of denoising algorithm especially in heavy noise conditions. In heavy noise conditions, BM3D causes some artifacts in the filtered image. These artifacts are reduced by the proposed block grouping algorithm. In the proposed block grouping method, beside of a similarity measure used for block matching, the amount of overlap between blocks is considered. Experimental results show that the proposed block grouping method can improve the performance of BM3D in terms of both peak signal-to-noise ratio (PSNR) and visual quality. | ||
| کلیدواژه‌ها | ||
| 3-D transform؛ block matching؛ BM3D؛ denoising؛ filtering؛ Image؛ overlap | ||
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