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
  • [1] Fast minimization methods for solving constrained total-variation superresolution image reconstruction
    Michael Ng
    Fan Wang
    Xiao-Ming Yuan
    Multidimensional Systems and Signal Processing, 2011, 22 : 259 - 286
  • [2] High resolution image reconstruction with constrained, total-variation minimization
    Sidky, Emil Y.
    Chartrand, Rick
    Duchin, Yuval
    Ullberg, Christer
    Pan, Xiaochuan
    2010 IEEE NUCLEAR SCIENCE SYMPOSIUM CONFERENCE RECORD (NSS/MIC), 2010, : 2617 - 2620
  • [3] SOLVING CONSTRAINED TOTAL-VARIATION IMAGE RESTORATION AND RECONSTRUCTION PROBLEMS VIA ALTERNATING DIRECTION METHODS
    Ng, Michael K.
    Weiss, Pierre
    Yuan, Xiaoming
    SIAM JOURNAL ON SCIENTIFIC COMPUTING, 2010, 32 (05): : 2710 - 2736
  • [4] Image reconstruction in circular cone-beam computed tomography by constrained, total-variation minimization
    Sidky, Emil Y.
    Pan, Xiaochuan
    PHYSICS IN MEDICINE AND BIOLOGY, 2008, 53 (17): : 4777 - 4807
  • [5] Image reconstruction algorithm based on inexact alternating direction total-variation minimization
    Wang Lin-Yuan
    Zhang Han-Ming
    Cai Ai-Long
    Yan Bin
    Li Lei
    Hu Guo-En
    ACTA PHYSICA SINICA, 2013, 62 (19)
  • [6] Cone-beam breast computed tomography using ultra-fast image reconstruction with constrained, total-variation minimization for suppression of artifacts
    Tseng, Hsin Wu
    Vedantham, Srinivasan
    Karellas, Andrew
    PHYSICA MEDICA-EUROPEAN JOURNAL OF MEDICAL PHYSICS, 2020, 73 : 117 - 124
  • [7] Comparison of few-view CT image reconstruction algorithms by constrained total-variation minimization based on different sampling bases
    Wang, Haoyu
    Xie, Yaoqin
    Bao, Shanglian
    Li, Lei
    Yan, Bin
    WORLD CONGRESS ON MEDICAL PHYSICS AND BIOMEDICAL ENGINEERING, VOL 25, PT 2 - DIAGNOSTIC IMAGING, 2009, 25 : 443 - 446
  • [8] Constrained - Total - Variation - Minimization - Based Image Reconstruction in Breast CT
    Bian, J.
    Yang, K.
    Han, X.
    Sidky, E.
    Boone, J.
    Pan, X.
    MEDICAL PHYSICS, 2011, 38 (06)
  • [9] Non-local means improves total-variation constrained photoacoustic image reconstruction
    Yalavarthy, Phaneendra K.
    Kalva, Sandeep Kumar
    Pramanik, Manojit
    Prakash, Jaya
    JOURNAL OF BIOPHOTONICS, 2021, 14 (01)
  • [10] Enhanced frequency-domain optical image reconstruction in tissues through total-variation minimization
    Paulsen, KD
    Jiang, HB
    APPLIED OPTICS, 1996, 35 (19): : 3447 - 3458
12345