Title :
Spatially-varying out-of-focus image deblurring with L1-2 optimization and a guided blur map
Author :
Shen, Chih-Tsung ; Hwang, Wen-Liang ; Pei, Soo-Chang
Abstract :
In this paper, we propose a spatially-varying deblurring method to remove the out-of-focus blur. Our proposed method mainly contains three parts: blur map generation, image deblurring, and scale selection. First, we derive a blur map using local contrast prior and the guided filter. Second, we propose our image deblurring method with L1-2 optimization to obtain a better image quality. Finally, we adopt the scale selection to ensure our output free from ringing artifacts. The experimental results demonstrate our proposed method is promising.
Keywords :
filtering theory; image restoration; optimisation; L1-2 optimization; blur map generation; guided blur map; guided filter; image quality; local contrast; scale selection; spatially-varying out-of-focus image deblurring; Equations; Image edge detection; Image reconstruction; Image restoration; Mathematical model; Optimization; TV; L1-2 optimization; guided blur map; out-of-focus blur; spatially-varying deblurring;
Conference_Titel :
Acoustics, Speech and Signal Processing (ICASSP), 2012 IEEE International Conference on
Conference_Location :
Kyoto
Print_ISBN :
978-1-4673-0045-2
Electronic_ISBN :
1520-6149
DOI :
10.1109/ICASSP.2012.6288071