research-article

Medical image restoration method via multiple nonlocal prior constraints

Authors: Qidi Wu, Yibing Li, Yun Lin Handling Associate Editor: Young Ho KimAuthors Info & Claims

Journal of Intelligent & Fuzzy Systems, Volume 38, Issue 1

Pages 5 - 19

https://doi.org/10.3233/JIFS-179375

Published: 01 January 2020 Publication History

Abstract

Medical image restoration is a fundamental issue in the area of medical signal processing, which aims recove high quality medical image from its degradation observation. Recently, the methods with nonlocal self-similarity prior have led to a great improvement on many medical image restoration tasks. Nevertheless, the nonlocal technique is generally embedded with only one kind of constraint, such as sparsity or low-rank in the conventional model, which limits their abilities and show good performance on certain prior. To address this problem, in this paper, we present a novel medical image restoration method with multiple nonlocal-based prior regularizations. The surfacelet transformation is introduced to construct a cubic sparsity constraint to a group of nonlocal similar patches. Likewise, due to the self-similarity existed in the medical image, two extra kinds of nonlocal-based priors, nonlocal total variation and nonlocal weighted low-rank, are also exploited to constrain the local smoothness and nonlocal relationship jointly. In this way, each of the designed priors can well recover a group of patches with similar structure. And then, the designed priors are combined into a unified proposed optimization framework, which will obtain the advantages from all of them simultaneously. Finally, to solve the objective function in the proposed framework, we develop an iterative numerical scenario based on alternating direction multipliers method. The extensive experiments on test medical images demonstrate that our proposed model outperforms the comparison methods on both of visual quality and objective evaluation results.

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Cited By

Chen JDong YSun K(2022)Multi-view Subspace Clustering via Two Dimensional Structures Preservation on Heterogeneous FeaturesMobile Networks and Applications10.1007/s11036-021-01889-027:6(2437-2448)Online publication date: 18-Mar-2022
https://dl.acm.org/doi/10.1007/s11036-021-01889-0
Chen LZhang RAhmad AJeon GYang XVaradarajan VKommers PPiuri VSubramaniyaswamy V(2020)An image super-resolution method for better cognition of images in cognition computing systemJournal of Intelligent & Fuzzy Systems: Applications in Engineering and Technology10.3233/JIFS-18912739:6(8043-8055)Online publication date: 1-Jan-2020
https://dl.acm.org/doi/10.3233/JIFS-189127

Index Terms

Medical image restoration method via multiple nonlocal prior constraints
1. Computing methodologies
  1. Artificial intelligence
    1. Computer vision
      1. Computer vision problems
  2. Computer graphics
    1. Image manipulation
2. Mathematics of computing
  1. Mathematical analysis

Index terms have been assigned to the content through auto-classification.

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Published In

cover image Journal of Intelligent & Fuzzy Systems: Applications in Engineering and Technology

Journal of Intelligent & Fuzzy Systems: Applications in Engineering and Technology Volume 38, Issue 1

Special Section: Fuzzy Logic for Analysis of Clinical Diagnosis and Decision-Making in Health Care

2020

1076 pages

ISSN:1064-1246

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© 2020 – IOS Press and the authors. All rights reserved.

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IOS Press

Netherlands

Publication History

Published: 01 January 2020

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Cited By

Chen JDong YSun K(2022)Multi-view Subspace Clustering via Two Dimensional Structures Preservation on Heterogeneous FeaturesMobile Networks and Applications10.1007/s11036-021-01889-027:6(2437-2448)Online publication date: 18-Mar-2022
https://dl.acm.org/doi/10.1007/s11036-021-01889-0
Chen LZhang RAhmad AJeon GYang XVaradarajan VKommers PPiuri VSubramaniyaswamy V(2020)An image super-resolution method for better cognition of images in cognition computing systemJournal of Intelligent & Fuzzy Systems: Applications in Engineering and Technology10.3233/JIFS-18912739:6(8043-8055)Online publication date: 1-Jan-2020
https://dl.acm.org/doi/10.3233/JIFS-189127

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