A Fast k Value Estimation in the Wiener Filter Algorithm of Motion Blurred Image Restoration
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Abstract
The restoration technology of the motion blurred image is more and more widely used nowadays, and its implementation on hardware is becoming the tendency. The key factors of the Wiener filter algorithm from the angle of cost-effective was discussed, and a new loop algorithm of high-efficiency was proposed to estimate the k values. Massive experiments demonstrate that this algorithm can find the k value for the best recovery effect much faster and more accurate, which lays the foundation for the hardware realization.
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