文献类型：期刊文献

英文题名：Modified Newton Integration Algorithm With Noise Tolerance for Image Deblurring

作者：Liao, Shan[1];Huang, Haoen[2];Liu, Jiayong[1];Xiao, Xiuchun[2];Li, Xiaoyang[1];Li, Shubin[1]

机构：[1]Sichuan Univ, Sch Cyber Sci & Engn, Chengdu 610065, Peoples R China;[2]Guangdong Ocean Univ, Sch Elect & Informat Engn, Zhanjiang 524025, Peoples R China

年份：2021

卷号：7

起止页码：1254

外文期刊名：IEEE TRANSACTIONS ON COMPUTATIONAL IMAGING

收录：SCI-EXPANDED(收录号：WOS:000728133800002)、、EI(收录号：20215211396628)、Scopus(收录号：2-s2.0-85121682757)、WOS

基金：This work was supported in part by the Frontier Science and Technology Innovation Projects of National Key Research and Development Program under Grant 2019QY1405, in part by the Key Research and Development Program of Sichuan Province under Grant 2020YFG0076, in part by the Sichuan Science and Technology Program under Grant 2021YFG0159, in part by the Key Research and Development Program of Sichuan Province under Grant 2021YFG0156, in part by the Fundamental Research Funds for the Central Universities, in part by the Guangdong Graduate Education Innovation Project Graduate Academic Forum under Grant 2020XSLT27, in part by the Key Lab of Digital Signal and Image Processing of Guangdong Province under Grant 2019GDDSIPL-01, in part by the Guangdong Basic and Applied Basic Research Foundation under Grant 2021A1515011847, and in part by the Postgraduate Education Innovation Project of Guangdong Ocean University under Grant 202159. The associate editor coordinating the review of this manuscript and approving it for publication was Prof. Jinli Suo. (Corresponding authors: Haoen Huang; Jiayong Liu.)

语种：英文

外文关键词：Image deblurring; modified Newton integration (MNI) algorithm; noise-tolerance ability

外文摘要：This paper addresses image deblurring problem, which consists of recovering a rather high resolution image from its blurred and noisy observation version. Different from the existing solving methods, influence of noise perturbation is considered when modeling inverse solution process. To remedy shortcomings that the traditional and current computing methods have encountered under a noisy environment, a modified Newton integration (MNI) algorithm is presented from the control perspective. Besides, through the corresponding theoretical analyses and proofs, the proposed MNI algorithm is confirmed to handle image deblurring problem with noise-tolerance ability and fast convergence performance. Finally, multiple simulative experiments are performed to verify excellent image deblurring ability and noise-tolerance advantage of proposed MNI algorithm compared among Newton-Raphson iterative (NRI) algorithm, gradient descend dynamic (GDD) algorithm, and discrete time derivative (DTD) algorithm.