A Novel Thresholding Algorithm for Image Deblurring Beyond Nesterov’s Rule

Image deblurring problem is a tough work for improving the quality of images, in this paper; we develop an efficient and fast thresholding algorithm to handle such problem. We observe that the improved fast iterative thresholding algorithm (IFISTA) can be further accelerated by using a sequence of o...

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Bibliographic Details
Main Authors: Zhi Wang, Jianjun Wang, Wendong Wang, Chao Gao, Siqi Chen
Format: Article
Language:English
Published: IEEE 2018-01-01
Series:IEEE Access
Subjects:
Online Access:https://ieeexplore.ieee.org/document/8481658/