Skip to main content Skip to main navigation menu Skip to site footer
  • Register
  • Login
  • Journals
  • Home
  • Editorial Board
  • Archives
  • Online First
  • Policies
    • Ethical Policy
    • The Use of Artificial Intelligence Policy
  • Guide for Authors
  • About
    • About the Journal
    • Contact Us
    • Order Journal
  • Register
  • Login
  1. Home /
  2. Search

Search

Advanced filters
Published After
Published Before

Search Results

##search.searchResults.foundPlural##
  • A Denoising-Decomposition Model Combining TV Minimisation and Fractional Derivatives

    Donghuan Jiang, Xuejian Wang, Guangbao Xu & Jianqiang Lin
    2018-09-17
    39802 3298 Pages:447-462
  • Fast Algorithms for the Anisotropic LLT Model in Image Denoising

    Zhi-Feng Pang, Li-Lian Wang & Yu-Fei Yang
    2018-02-09
    39216 4690 Pages:264-283
  • An Efficient Feature-Preserving Image Denoising Algorithm Based on a Spatial-Fractional Anisotropic Diffusion Equation

    Maoyuan Xu, Xiaoping Xie
    2021-08-03
    44039 3075 Pages:788-807
  • Compound PDE-Based Additive Denoising Solution Combining an Improved Anisotropic Diffusion Model to a 2D Gaussian Filter Kernel

    Tudor Barbu & C. Moroşanu
    2019-01-07
    40358 5072 Pages:1-12
  • A Restricted Linearised Augmented Lagrangian Method for Euler's Elastica Model

    Yinghui Zhang, Xiaojuan Deng, Xing Zhao, Hongwei Li
    2021-02-23
    44322 3146 Pages:276-300
  • New Hybrid Variational Recovery Model for Blurred Images with Multiplicative Noise

    Yiqiu Dong & Tieyong Zeng
    2018-02-10
    38048 4474 Pages:263-282
  • A Fast Linearised Augmented Lagrangian Method for a Mean Curvature Based Model

    Jun Zhang, Chengzhi Deng, Yuying Shi, Shengqian Wang & Yonggui Zhu
    2018-09-17
    38883 3295 Pages:463-476
1 - 7 of 7 items
Global Science Press
Follow Us
Useful Links
  • Publish with Us
  • Browse Journals
  • Open Access
  • Ethical Policy
  • Terms and Conditions
Resources
  • Publish with Us
  • Partner with Us
  • For Authors
  • For Institutions
  • For Librarians
  • For Agents
  • For Users
  • Editorial Process
About
  • About Global Science Press
  • Contact Us