National Natural Science Foundation of China (No.61104221);Natural Science Foundation of the Jiangsu Higher Education Institutions of China (No.10KJB120004);Doctoral Talent Fund of Jiangsu Normal University (No.10XLR27)
LI Xu-chao, SONG Bo. Newton Iterative Principle of Primal-Dual Model and Image Restoration[J]. Acta Electronica Sinica, 2015, 43(10): 1984-1993.
DOI:
LI Xu-chao, SONG Bo. Newton Iterative Principle of Primal-Dual Model and Image Restoration[J]. Acta Electronica Sinica, 2015, 43(10): 1984-1993. DOI: 10.3969/j.issn.0372-2112.2015.10.016.
Newton Iterative Principle of Primal-Dual Model and Image Restoration
For non-differential characteristics and easily producing stair effect of total variation in image restoration
the paper presents a second order differential primal-dual model and Newton iterative algorithm.The characteristics of pseudo Huber function are analyzed
primal model is converted into primal-dual model resort to Fenchel transform
Newton iterative algorithm based on the different step length update schemes of primal and dual variables are proposed
and the generalized cross validation principle is given to determine the weight.Synthesized and real images are blurred by point spread function and Gaussian noise
the comparison experiments among the proposed scheme with fast Fourier transform algorithm
fast shrinkage-thresholding algorithm
alternating projection algorithm and quasi-Newton algorithm are carried out.Simulation results show the proposed algorithm can protect image edges
alleviate stair effect
and achieve lower relative error and deviation
higher peak signal to noise ratio and structural similarity index measure