Fast restoration of nonuniform blurred images

Authors:
Hong Deng;Wangmeng Zuo;Hongzhi Zhang
Affiliations:
Biocomputing Research Centre, School of Computer Science and Technology, Harbin Institute of Technology, Harbin, China;Biocomputing Research Centre, School of Computer Science and Technology, Harbin Institute of Technology, Harbin, China;Biocomputing Research Centre, School of Computer Science and Technology, Harbin Institute of Technology, Harbin, China
Venue:
IScIDE'12 Proceedings of the third Sino-foreign-interchange conference on Intelligent Science and Intelligent Data Engineering
Year:
2012

Citing 10
Cited 0

Matrix analysis

Matrix analysis
A Geometric Approach to Shape from Defocus

IEEE Transactions on Pattern Analysis and Machine Intelligence
A Fast Iterative Shrinkage-Thresholding Algorithm for Linear Inverse Problems

SIAM Journal on Imaging Sciences
A Fast Iterative Shrinkage-Thresholding Algorithm for Linear Inverse Problems

SIAM Journal on Imaging Sciences
Accurate and efficient method for smoothly space-variant Gaussian blurring

IEEE Transactions on Image Processing
Richardson-Lucy Deblurring for Scenes under a Projective Motion Path

IEEE Transactions on Pattern Analysis and Machine Intelligence
Wavelets and filter banks: theory and design

IEEE Transactions on Signal Processing
Nonlinear wavelet image processing: variational problems, compression, and noise removal through wavelet shrinkage

IEEE Transactions on Image Processing
An Augmented Lagrangian Approach to the Constrained Optimization Formulation of Imaging Inverse Problems

IEEE Transactions on Image Processing
A Generalized Accelerated Proximal Gradient Approach for Total-Variation-Based Image Restoration

IEEE Transactions on Image Processing

Quantified Score

Hi-index	0.00

Visualization

Abstract

Nonuniform blurring is general for image degradation. Either defocus, camera shaking, or motion would result in nonuniform blurring. However, most current image restoration algorithms were developed for restoration from image blurred with one single space-invariant convolution kernel. The computational inefficiency would be significant if we directly extend these algorithms for restoration of nonuniform blurred image. In this paper, we propose a novel fast restoration algorithm for restoration of nonuniform blurred images. In our method, we first model nonuniform blurring as a space-variant weighted summation of images blurred by a group of basis filters, and use principal component analysis (PCA) to obtain the basis filters in advance. Then, based on the total variation (TV) based model, we adapt the generalized accelerated proximal gradient (GAPG) algorithm for image restoration. Experimental results indicate that the proposed method can dramatically improve the computational efficiency while achieving satisfactory restoration performance.