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

Published in:	IEEE access Vol. 6; pp. 58119 - 58131
Main Authors:	Wang, Zhi, Wang, Jianjun, Wang, Wendong, Gao, Chao, Chen, Siqi
Format:	Journal Article
Language:	English
Published:	Piscataway IEEE 2018 The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subjects:	Acceleration Algorithms Convergence Image deblurring Image quality Image restoration Iterative algorithms local variation Nesterov’s rule Robustness shrinkage thresholding algorithm Thresholding (Imaging)
ISSN:	2169-3536, 2169-3536
Online Access:	Get full text
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