Title :
A two-dimensional iterative algorithm for blind image restoration based on an L1 regularization approach
Author :
Zhuang, Jinlian ; Xia, Youshen
Author_Institution :
Coll. of Math. & Comput. Sci., Fuzhou Univ., Fuzhou, China
Abstract :
In this paper a new two-dimensional method for blind image restoration, based on an L1 regularization cost function is presented. A generalized gradient algorithm is proposed by using a weak derivative of the absolute value function to deal with the non-differentiable case. Unlike the double regularization (DR) approach, the proposed method uses the L1 estimation and is suitable for blind image restoration under non-Guassian noise environments. Compared with the NAS-RIF approach, the proposed method doesn´t require the image object with a known support. Experimental results show that the proposed algorithm can obtain a better image estimate with a faster speed than three conventional blind image restoration algorithms.
Keywords :
gradient methods; image restoration; L1 estimation; L1 regularization cost function; absolute value function; blind image restoration; generalized gradient algorithm; nonGuassian noise environment; two-dimensional iterative algorithm; Algorithm design and analysis; Cost function; Deconvolution; Estimation; Image restoration; Noise; Pixel; 2-D implementation algorithm; L1 estimate; blind image restoration;
Conference_Titel :
Image and Signal Processing (CISP), 2010 3rd International Congress on
Conference_Location :
Yantai
Print_ISBN :
978-1-4244-6513-2
DOI :
10.1109/CISP.2010.5647085