Fast minimization methods for solving constrained total-variation superresolution image reconstruction

被引：11
|
作者：
Ng, Michael [1 ,2 ]
Wang, Fan [1 ,2 ]
Yuan, Xiao-Ming [2 ]
机构：
[1] Hong Kong Baptist Univ, Ctr Math Imaging & Vis, Kowloon Tong, Hong Kong, Peoples R China
[2] Hong Kong Baptist Univ, Dept Math, Kowloon Tong, Hong Kong, Peoples R China
来源：
MULTIDIMENSIONAL SYSTEMS AND SIGNAL PROCESSING | 2011年 / 22卷 / 1-3期
关键词：
Constrained total-variation; Superresolution image reconstruction; Alternating direction methods; Inexact computation; RESTORATION; ALGORITHM;
D O I：
10.1007/s11045-010-0137-9
中图分类号：
TP301 [理论、方法];
学科分类号：
081202 ;
摘要：
In this paper, we study the problem of reconstructing a high-resolution image from several decimated, blurred and noisy low-resolution versions of the high-resolution image. The problem can be formulated as a combination of the total variation (TV) inpainting model and the superresolution image reconstruction model. The main purpose of this paper is to develop an inexact alternating direction method for solving such constrained TV image reconstruction problem. Experimental results are given to show that the proposed algorithm is effective and efficient.
引用
收藏
页码：259 / 286
页数：28
相关论文
共 50 条
  • [21] Approximate methods for constrained total variation minimization
    Dong, Xiaogang
    Pollak, Ilya
    COMPUTER SCIENCE - THEORY AND APPLICATIONS, 2006, 3967 : 403 - 414
  • [22] 4D Digital Tomosynthesis Based On Algebraic Image Reconstruction and Total-Variation Minimization for the Improvement of Image Quality
    Kim, D.
    Kang, S.
    Kim, T.
    Kim, S.
    Suh, T.
    MEDICAL PHYSICS, 2014, 41 (06) : 154 - 154
  • [23] CBCT Image Reconstruction via Anisotropic Total-variation Regularization
    Choi, K.
    Wang, J.
    Zhu, L.
    Ye, Y.
    Xing, L.
    INTERNATIONAL JOURNAL OF RADIATION ONCOLOGY BIOLOGY PHYSICS, 2009, 75 (03): : S644 - S644
  • [24] Fast total-variation based image restoration based on derivative alternated direction optimization methods
    Ren, Dongwei
    Zhang, Hongzhi
    Zhang, David
    Zuo, Wangmeng
    NEUROCOMPUTING, 2015, 170 : 201 - 212
  • [25] Compressed Sensing of Sparsity-constrained Total Variation Minimization for CT Image Reconstruction
    Dong, Jian
    Kudo, Hiroyuki
    Rashed, Essam A.
    MEDICAL IMAGING 2017: PHYSICS OF MEDICAL IMAGING, 2017, 10132
  • [26] Reconstruction from truncated projections using constrained total-variation minimization applied to PET for hadron-therapy monitoring
    Cabello, J.
    Torres-Espallardo, I.
    Gillam, J. E.
    Diblen, F.
    Rafecas, M.
    2012 IEEE NUCLEAR SCIENCE SYMPOSIUM AND MEDICAL IMAGING CONFERENCE RECORD (NSS/MIC), 2012, : 3874 - 3879
  • [27] Information Divergence Constrained Total Variation Minimization for Positron Emission Tomography Image Reconstruction
    Tian, Lingling
    Ma, Jianhua
    Liang, Zhengrong
    Huang, Jing
    Chen, Wufan
    2011 IEEE NUCLEAR SCIENCE SYMPOSIUM AND MEDICAL IMAGING CONFERENCE (NSS/MIC), 2011, : 2587 - 2592
  • [28] Spectral CT Reconstruction with Weighted Non-Local Total-Variation Minimization
    Wu, Dufan
    Zhang, Li
    Xu, Xiaofei
    Wang, Sen
    2015 IEEE NUCLEAR SCIENCE SYMPOSIUM AND MEDICAL IMAGING CONFERENCE (NSS/MIC), 2015,
  • [29] Box-constrained total-variation image restoration with automatic parameter estimation
    He, Chuan
    Hu, Chang-Hua
    Zhang, Wei
    Shi, Biao
    Zidonghua Xuebao/Acta Automatica Sinica, 2014, 40 (08): : 1804 - 1811
  • [30] A New Limited-Angle CT Reconstruction Method Based On Total-Variation Minimization
    Zhang, J.
    Ren, L.
    Zhou, S.
    Yin, F.
    MEDICAL PHYSICS, 2008, 35 (06) : 2653 - +
12345