Wiener Filter Image Restoration based on Global Variance and Noise Estimation
LI Dongsheng
CHEN Chunxiao
WANG Zhangli
YANG Junhao
Abstract：Image restoration is a method using image processing techniques to recovery the degenerate image in order to gain an ap -proximate image which is similar to the real image .Wiener filtering is widely used in suppressing noise and recovering blurring image . However , the information of the degenerate image hadn 't been maken full use , there were still many defects of the traditional Wiener fil-tering method , such as hard to gain a high quality image .In this paper , the global variance and noise power spectrum were introduced into Wiener filtering , and a new Wiener filter restoration method which based on global variance and noise estimation was proposed . Experiments show that the method proposed can enhance the stability of the image restoration algorithm , acquire more details of restored image and obtain a high quality image finally .
Keywords：Image restorationWiener filterGlobal varianceNoise estimationStructural similarity index
Publication Date：2017-01-01
Online Publishing Date：2026-09-11(First online date of this platform, not the publication date of the document)
Pages：5( 331-335 )