BM3D Image Denoising Algorithm with Adaptive Distance Hard-threshold

Li Dai; Yousai Zhang; Yuanjiang Li

BM3D Image Denoising Algorithm with Adaptive Distance Hard-threshold

원문정보

보안공학연구지원센터(IJSIP) International Journal of Signal Processing, Image Processing and Pattern Recognition Vol.6 No.6 2013.12 pp.41-50

피인용수 : 0건 (자료제공 : 네이버학술정보)

초록

영어

Block-matching and 3D filtering (BM3D) denoising algorithm [1] proposed recently has a problem of computational burden especially for low noise level and a sharp performance drop for high noise level. To solve it, an improved version of BM3D is proposed. The solution combines the digital image characteristic with added noise pollution levels, and adaptively selects block-matching threshold in grouping stage. Experimental results demonstrate it outperforms not only in terms of objective criteria of PSNR and running time, but also in visual quality.

키워드

저자정보

Li Dai Institute of Electronic and Information, Jiangsu University of Science and Technology, Zhenjiang 212003, China
Yousai Zhang Institute of Electronic and Information, Jiangsu University of Science and Technology, Zhenjiang 212003, China
Yuanjiang Li Institute of Electronic and Information, Jiangsu University of Science and Technology, Zhenjiang 212003, China

참고문헌

자료제공 : 네이버학술정보

함께 이용한 논문

※ 원문제공기관과의 협약기간이 종료되어 열람이 제한될 수 있습니다.

0개의 논문이 장바구니에 담겼습니다.

earticle