Title :
Improved expected patch Log likelihood scheme for image denoising
Author :
Shasha Zhu ; Nian Cai ; Shengru Wang ; Meilin Wang ; Shaowei Weng
Author_Institution :
Sch. of Inf. Eng., Guangdong Univ. of Technol., Guangzhou, China
Abstract :
To solve the inherent non-adaptive problem existed in the expected patch Log likelihood (EPLL), an updating process of the Gaussian mixture model introduced into the EPLL and an improved EPLL scheme via adaptive Gaussian mixture prior is proposed in this paper. Experimental results show that the proposed method outperforms the existing image denoising algorithms.
Keywords :
Gaussian processes; image denoising; mixture models; adaptive Gaussian mixture model; image denoising; improved EPLL scheme; improved expected patch log likelihood scheme; updating process; Educational institutions; Gaussian mixture model; Image denoising; Image restoration; Wiener filters; Gaussian mixture models; Gaussian mixture prior update; Wiener filter; image denoising;
Conference_Titel :
Consumer Electronics - China, 2014 IEEE International Conference on
Conference_Location :
Shenzhen
DOI :
10.1109/ICCE-China.2014.7029878
