Title :
Parameters estimation of a motion-blurred image using the Helmholtz principle
Author :
Xue, Feng ; Zhao, Yong ; Fan, Wei-hong
Author_Institution :
Sch. of Comput. & Inf. Eng., Peking Univ. Shenzhen Grad. Sch., Shenzhen, China
Abstract :
The Recovery of a motion-blurred image is an important ill-posed inverse problem. The goal of the present work is to provide a probabilistic method for the detection of motion parameters based on the geometrical characteristic of the Fourier spectrum. To achieve this goal, the method first detects the maximum meaningful parallel alignments in the frequency domain of the blurred image using the Helmholtz principle. Then the parameters of the blur are identified by an adapted K-means cluster algorithm. Feasibility of the algorithm is demonstrated by three experiments.
Keywords :
Helmholtz equations; frequency-domain analysis; image restoration; inverse problems; parameter estimation; pattern clustering; Fourier spectrum; Helmholtz principle; adapted K-means cluster algorithm; frequency domain method; inverse problem; motion parameter detection; motion-blurred image recovery; parameter estimation; Algorithm design and analysis; Clustering algorithms; Deconvolution; Fourier transforms; Image restoration; Image segmentation; Motion segmentation;
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.2010.5646860