TY - GEN
T1 - Salt-and-pepper noise removal based on nonlocal mean filter
AU - Yin, Xunbo
AU - Zhu, Jiaqi
PY - 2013
Y1 - 2013
N2 - In this paper, a new two-phase method for salt-and-pepper noise removal is proposed which combines the adaptive median filter and nonlocal mean filter. In the first phase, the adaptive median filter is used to identity pixels which are likely to be contaminated by noise. In the second phase, the image is restored using the nonlocal mean filter which is firstly proposed for Gaussian noise removal. It has a strong ability to handle textures and repetitive structures. Experimental results show that the proposed algorithm achieved not only high PSNR but also pleasure visual results even when the noise level is high as 90%.
AB - In this paper, a new two-phase method for salt-and-pepper noise removal is proposed which combines the adaptive median filter and nonlocal mean filter. In the first phase, the adaptive median filter is used to identity pixels which are likely to be contaminated by noise. In the second phase, the image is restored using the nonlocal mean filter which is firstly proposed for Gaussian noise removal. It has a strong ability to handle textures and repetitive structures. Experimental results show that the proposed algorithm achieved not only high PSNR but also pleasure visual results even when the noise level is high as 90%.
KW - Image denoise
KW - Nonlocal mean filter
KW - Salt-and-Pepper noise
UR - https://www.scopus.com/pages/publications/84894198920
U2 - 10.1109/CECNet.2013.6703397
DO - 10.1109/CECNet.2013.6703397
M3 - 会议稿件
AN - SCOPUS:84894198920
SN - 9781479928590
T3 - 2013 3rd International Conference on Consumer Electronics, Communications and Networks, CECNet 2013 - Proceedings
SP - 577
EP - 580
BT - 2013 3rd International Conference on Consumer Electronics, Communications and Networks, CECNet 2013 - Proceedings
T2 - 2013 3rd International Conference on Consumer Electronics, Communications and Networks, CECNet 2013
Y2 - 20 November 2013 through 22 November 2013
ER -