Title :
The Improved Winner Filter Image Restoration Based on Partition
Author :
Zhiqiang Wei ; Caiyan Duan ; Shuming Jiang ; Yuanyuan Zhang ; Jianfeng Zhang ; Lianpeng Zhu
Author_Institution :
Inf. Res. Inst., Shandong Acad. of Sci., Jinan, China
Abstract :
Image restoration is a key research field in the digital image processing technology. Due to camera defocus, the relative movement and noise, the image quality declines. Because of the limitations of Wiener filtering method, the paper proposes a kind of improved Wiener filtering restoration method based on the partition. The method can not only enhance the edges and eliminate the noise, but also eliminate pseudo morph well. The PSNR of improved restoration method is higher than the original method.
Keywords :
filtering theory; image denoising; image enhancement; image restoration; PSNR; camera defocus; digital image processing technology; edge enhancement; image partitioning; image quality; improved Wiener filtering restoration method; noise elimination; pseudomorph elimination; relative movement; Image edge detection; Image restoration; PSNR; Veins; Wiener filters; Image restoration Motion blurred Defocus blurred Winner filter;
Conference_Titel :
Computational Intelligence and Design (ISCID), 2013 Sixth International Symposium on
Conference_Location :
Hangzhou
DOI :
10.1109/ISCID.2013.163
