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The Imaging Science Journal Volume 64, 2016 - Issue 3
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Original Articles

Improved TV for blind deblurring with split Bregman iteration

J. WenSchool of Electronics and Information Engineering, Tianjin Key Laboratory of Optoelectronic Detection Technology and Systems, Tianjin Polytechnic University, Tianjin300387, ChinaCorrespondence[email protected]
,
J. WuSchool of Electronics and Information Engineering, Tianjin Key Laboratory of Optoelectronic Detection Technology and Systems, Tianjin Polytechnic University, Tianjin300387, China
,
F. ZhangSchool of Electronics and Information Engineering, Tianjin Key Laboratory of Optoelectronic Detection Technology and Systems, Tianjin Polytechnic University, Tianjin300387, China
,
R. WeiSchool of Electronics and Information Engineering, Tianjin Key Laboratory of Optoelectronic Detection Technology and Systems, Tianjin Polytechnic University, Tianjin300387, China
&
X. L. XingCollege of Automation, Harbin Engineering University, Harbin150001, China
Pages 160-165 | Received 05 Oct 2015, Accepted 19 Feb 2016, Published online: 22 Apr 2016

Citations (4)

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Read on this site (1)

Ahmad Husni Mohd Shapri & Mohd Zaid Abdullah. (2017) Accurate retrieval of region of interest for estimating point spread function and image deblurring. The Imaging Science Journal 65:6, pages 327-348.
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Articles from other publishers (3)

A. H. MOHD SHAPRI & M. Z. ABDULLAH. (2020) Improved Edge Refinement Filter with Entropy Feedback Measurement for Retrieving Region of Interest and Blind Image Deconvolution. Advances in Electrical and Computer Engineering 20:1, pages 71-82.
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Libo Chen & Jin Wu. (2018) Image inpainting algorithm based on self-adaptive structural group sparse representation. Image inpainting algorithm based on self-adaptive structural group sparse representation.
Kai Song Zhang, Luo Zhong & Xuan Ya Zhang. (2018) Image Restoration via Group l2,1 Norm-Based Structural Sparse Representation. International Journal of Pattern Recognition and Artificial Intelligence 32:04, pages 1854008.
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