GRID WARPING IN TOTAL VARIATION IMAGE ENHANCEMENT METHODS

被引:0
|
作者
Nasonov, Andrey [1 ]
Krylov, Andrey [1 ]
机构
[1] Moscow MV Lomonosov State Univ, Dept Computat Math & Cybernet, Moscow 117234, Russia
关键词
Image grid warping; total variation; image enhancement; ALGORITHMS;
D O I
暂无
中图分类号
TP301 [理论、方法];
学科分类号
081202 ;
摘要
An approach of including warping algorithms into total variation image enhancement methods is suggested. The idea of warping is to make edges sharper using pixel grid transform so that the pixels near edges move closer to the edges. The advantage of using warping approach is that the change of the total variation value is small, so it can be used to improve the results of total variation image enhancement methods like deblurring, deringing and resampling.
引用
收藏
页码:4517 / 4521
页数:5
相关论文
共 50 条
  • [31] Photoacoustic microscopy image resolution enhancement via directional total variation regularization
    Wu, Zhenghua
    Sun, Mingjian
    Wang, Qiang
    Liu, Ting
    Feng, Naizhang
    Liu, Jie
    Shen, Yi
    CHINESE OPTICS LETTERS, 2014, 12 (12)
  • [32] Adaptive Sparse Norm and Nonlocal Total Variation Methods for Image Smoothing
    Liu, Qiegen
    Xiong, Biao
    Zhang, Minghui
    MATHEMATICAL PROBLEMS IN ENGINEERING, 2014, 2014
  • [33] Spherical panoramic mosaics with the image division and warping methods
    An, Weihua
    Zhou, Bingfeng
    ICIS '06: INTERNATIONAL CONGRESS OF IMAGING SCIENCE, FINAL PROGRAM AND PROCEEDINGS: LINKING THE EXPLOSION OF IMAGING APPLICATIONS WITH THE SCIENCE AND TECHNOLOGY OF IMAGING, 2006, : 284 - 287
  • [34] Fast parallel grid warping-based image sharpening method
    A. D. Gusev
    A. V. Nasonov
    A. S. Krylov
    Programming and Computer Software, 2017, 43 : 230 - 233
  • [35] Fast parallel grid warping-based image sharpening method
    Gusev, A. D.
    Nasonov, A. V.
    Krylov, A. S.
    PROGRAMMING AND COMPUTER SOFTWARE, 2017, 43 (04) : 230 - 233
  • [36] GRID WARPING FOR IMAGE SHARPENING USING ONE-DIMENSIONAL APPROACH
    Krylov, Andrey
    Nasonova, Alexandra
    Nasonov, Andrey
    2014 12TH INTERNATIONAL CONFERENCE ON SIGNAL PROCESSING (ICSP), 2014, : 672 - 677
  • [37] Image feature enhancement based on the time-controlled total variation flow formulation
    Ghita, Ovidiu
    Ilea, Dana E.
    Whelan, Paul F.
    PATTERN RECOGNITION LETTERS, 2009, 30 (03) : 314 - 320
  • [38] Visibility enhancement of fog-degraded image using adaptive total variation minimisation
    Yoon, Sang Min
    IMAGING SCIENCE JOURNAL, 2016, 64 (02): : 82 - 86
  • [39] Contrast Enhancement via Dual Graph Total Variation-Based Image Decomposition
    Liu, Xianming
    Zhai, Deming
    Bai, Yuanchao
    Ji, Xiangyang
    Gao, Wen
    IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS FOR VIDEO TECHNOLOGY, 2020, 30 (08) : 2463 - 2476
  • [40] Enhancement of image fusion methods
    Ben-Shoshan, Yotam
    Yitzhaky, Yitzhak
    APPLICATIONS OF DIGITAL IMAGE PROCESSING XXXVI, 2013, 8856