Title :
Noisy Radial Deblurring Using Natural Image Prior
Author :
Li, Shaochun ; Cui, Yuli ; Chu, Yongling
Author_Institution :
Yantai Vocational Coll., Yantai, China
Abstract :
Radial blurring, a challenging problem in image processing, is a special case of the space-variant motion blur. Previous methods mainly focus on space-invariant motion blurring, which could not be utilized directly in the space-variant motion deblurring. In this paper, we proposed a modified noisy radial deblurring method based on polar coordinate system, using the global and local image priors. The experiment results show that our proposed algorithm can denoise the additive noise and suppress the undesirable ring like ringing artifacts successfully, while the objective evaluations and subjective visual effects of the restoration images are improved obviously.
Keywords :
AWGN; image denoising; image motion analysis; image restoration; additive noise denoising; global natural image priors; image processing; image restoration; local natural image priors; noisy radial deblurring method; objective evaluations; polar coordinate system; space-variant motion blur; space-variant motion deblurring; subjective visual effects; undesirable ringlike ringing artifact suppression; Cameras; Image restoration; Measurement errors; Noise measurement; PSNR; TV; Gaussian white noise; Richardson-Lucy; image deblurring; natural image prior; total variation;
Conference_Titel :
Computer Science & Service System (CSSS), 2012 International Conference on
Conference_Location :
Nanjing
Print_ISBN :
978-1-4673-0721-5
DOI :
10.1109/CSSS.2012.468