A new algorithm for improving Deblurring effects and addressing spatially-variant blur problems for image motion deblurring

Author

Xie, Jun ; Lin, Weiyao ; Li, Hongxiang ; Guo, Kai ; Jin, Bin ; Zhang, Yihao ; Liu, Donghua

Author_Institution

Dept. of Electron. Eng., Shanghai Jiao Tong Univ., Shanghai, China

Volume

2

fYear

2011

fDate

15-17 Oct. 2011

Firstpage

651

Lastpage

655

Abstract

Motion deblurring techniques have played important roles in many image processing applications. In this paper, a new algorithm is proposed for motion deblurring from a single image. The proposed algorithm introduces an anisotropic Patiral Differential Equation (PDE) method for latent image prediction and employs an adaptive optimization model in the blind deconvolution iterative step. Furthermore, in order to solve the spatially-variant blur problems, we also propose a Saliency-based Deblurring (SD) approach by introducing saliency extraction together with a compensate method for image deblurring. Experimental results have demonstrated the effectiveness of the proposed algorithm.

Keywords

adaptive signal processing; feature extraction; image motion analysis; image restoration; iterative methods; partial differential equations; adaptive optimization model; anisotropic partial differential equation method; blind deconvolution iterative step; compensate method; image deblurring; image motion deblurring; image processing; latent image prediction; motion deblurring technique; saliency extraction; saliency-based deblurring approach; spatially-variant blur problem; Deconvolution; Estimation; Image edge detection; Image restoration; Kernel; Noise; Prediction algorithms; Motion Deblur; Spatially-variant Blur;

fLanguage

English

Publisher

ieee

Conference_Titel

Image and Signal Processing (CISP), 2011 4th International Congress on

Conference_Location

Shanghai

Print_ISBN

978-1-4244-9304-3

Type

conf

DOI

10.1109/CISP.2011.6100317

Filename

6100317