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- W2169899234 abstract "This paper constructs a frequency domain framework to deblur rotary degradation. The proposed method quantifies the rotary blur mechanism as frequency response and yields mean-square optimal estimation for original pixels under different noise levels. Then we present two methods to identify motion parameters. To detect correct rotary center, we propose a novel interval-searching method that works on the degraded pixel spectrum. The method is robust to noise. And a divide-conquer method is presented to iteratively calibrate the blur angle. Experimental results illustrate the frequency method outperforms spatial algorithms by up to 0.5 <sub xmlns:mml=http://www.w3.org/1998/Math/MathML xmlns:xlink=http://www.w3.org/1999/xlink>~</sub> 4 dB in Peak-Signal-Noise-Ratio (PSNR) and prove the methods for parameter identifications effective." @default.
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- W2169899234 date "2008-01-01" @default.
- W2169899234 modified "2023-09-26" @default.
- W2169899234 title "Robust image restoration for rotary motion degradations and the motion parameter identification" @default.
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- W2169899234 doi "https://doi.org/10.1109/icip.2008.4711801" @default.
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