An a Contrario Approach for Parameters Estimation of a Motion-Blurred Image
The recovery of a motion-blurred image is an important illposed inverse problem. But this subject has not recently received lot of attention. We propose a probabilistic method for the estimation of motion parameters based on the geometrical characteristic of the Fourier spectrum. Indeed, the Fourier spectrum of the blurred image is made by the product of the original Fourier spectrum with an oriented cardinal sine function. The estimation of the parameters reduces to the detection of the direction and of the gap between oscillations of the Fourier spectrum. Using the Helmholtz principle, the maximum meaningful parallel alignments are detected in the frequency domain, and then the direction and the extent of the blur are identified by an adapted K-means cluster algorithm. Simulation results show that the approach is very promising.
KeywordsPoint Spread Function Fourier Spectrum Motion Blur Blind Deconvolution Degraded Image
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