A Block-Grouping Method for Image Denoising by Block Matching and ۳-D Transform Filtering
سال انتشار: 1391
نوع سند: مقاله ژورنالی
زبان: انگلیسی
مشاهده: 131
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شناسه ملی سند علمی:
JR_CIT-1-2_007
تاریخ نمایه سازی: 20 تیر 1401
چکیده مقاله:
Image denoising by block matching and threedimensionaltransform filtering (BM۳D) is a two steps state-ofthe-art algorithm that uses the redundancy of similar blocks innoisy image for removing noise. Similar blocks which can havesome overlap are found by a block matching method and groupedto make ۳-D blocks for ۳-D transform filtering. In this paper wepropose a new block grouping algorithm in the first step ofBM۳D that improves the performance of denoising algorithmespecially in heavy noise conditions. In heavy noise conditions,BM۳D causes some artifacts in the filtered image. These artifactsare reduced by the proposed block grouping algorithm. In theproposed block grouping method, beside of a similarity measureused for block matching, the amount of overlap between blocks isconsidered. Experimental results show that the proposed blockgrouping method can improve the performance of BM۳D interms of both peak signal-to-noise ratio (PSNR) and visualquality.
کلیدواژه ها:
نویسندگان
M. Shirdel
University of Sistan and Baluchestan
M. Rezaei
University of Sistan and Baluchestan
F. Mohanna
University of Sistan and Baluchestan
J. Ahmadi-Shokouh
University of Sistan and Baluchestan