Title : 
Blurring length estimation using ringing artifacts in a deblurred image
         
        
            Author : 
Yang, Shuangxue ; Liu, Hong ; Liu, Benyong ; Liao, Xiang
         
        
            Author_Institution : 
Sch. of Comput. Sci. & Inf., Guizhou Univ., Guiyang, China
         
        
        
        
        
        
            Abstract : 
The restoration quality of a motion-blurred image is highly dependent on the estimation accuracy of the motion blurring parameter. This manuscript presents a novel and precise method for estimation of the motion blurring length, wherein the ringing artifact amount of a deblurred image is measured by energy proportion contained in appropriate frequency bands, and a blurring length with minimum ringing artifact amount is taken as the optimal estimation of the true blurring length. Experimental results show good performance of the proposed algorithm in motion blurring length estimation.
         
        
            Keywords : 
image restoration; motion estimation; blurring length; blurring length estimation; deblurred image; energy proportion; motion blurring parameter; motion estimation; motion-blurred image; ringing artifact; Cepstral analysis; Estimation; Image edge detection; Image restoration; Image sequences; Kernel; Wiener filter; blurred image restoration; blurring kernel; motion blur; ringing artifacts;
         
        
        
        
            Conference_Titel : 
Image Analysis and Signal Processing (IASP), 2011 International Conference on
         
        
            Conference_Location : 
Hubei
         
        
            Print_ISBN : 
978-1-61284-879-2
         
        
        
            DOI : 
10.1109/IASP.2011.6109003