J4 ›› 2012, Vol. 29 ›› Issue (6): 657-664.

• Image and Information Proc. •     Next Articles

Turbulence-degraded image restoration method using the second-order accelerated Richardson-Lucy algorithm based on Huber regularization

SHAO Hui1,2, WANG Jianye1, XU Peng1, FDS Team   

  1. 1 Institute of Nuclear Energy Safety Technology, School of Nuclear Science and Technology, University of Science and Technology of China,  Hefei  230031, China;
    2 School of Electronic and Information Engineering, Anhui University of Architecture, Hefei 230601, China 
  • Received:2012-02-20 Revised:2012-05-09 Published:2012-11-28 Online:2014-03-20

Abstract:

In order to restore turbulence-degraded images rapidly and exactly, an accelerated iterative blind deconvolution (IBD) Richardson-Lucy (R-L) algorithm based on Huber regularization is used. The Huber function can select L1 and L2 norms adaptively based on the processing result of image filter , in the smooth area ,the Huber function becomes the usual L2 least-squares penalty function with rapid convergence characteristics which can remove false edge ; and in the edge area, the L1 penalty function which can maintain the detail information and edge. Then the second-order vector extrapolation acceleration technique is used to accelerate convergence rate .The experimental results show that the proposed algorithm has greater convergence rate and better subjective and objective restoration result.

Key words: image processing, iterative blind deconvolution, vector extrapolation acceleration, Huber function, regularization technique

CLC Number: