Low-rank image denoising based on minimum variance estimator

被引:0
|
作者
Guo, Qiang [1 ,2 ,3 ]
Zhang, Caiming [2 ,3 ]
Zhang, Yunfeng [1 ,3 ]
Liu, Hui [1 ,3 ]
Shen, Xiaohong [1 ,3 ]
机构
[1] School of Computer Science and Technology, Shandong University of Finance and Economics, Ji'nan,250014, China
[2] School of Computer Science and Technology, Shandong University, Ji'nan,250101, China
[3] Shandong Provincial Key Laboratory of Digital Media Technology, Ji'nan,250014, China
关键词
Low rank approximations - Low-rank - Minimum variance - Minimum variance estimator - Peak signal to noise ratio - Self similarity properties - Self-similarities - Structural similarity;
D O I
暂无
中图分类号
学科分类号
摘要
引用
收藏
页码:2237 / 2246
相关论文
共 50 条
  • [1] Minimum variance beamforming in low-rank interference
    Dogandzic, A
    THIRTY-SIXTH ASILOMAR CONFERENCE ON SIGNALS, SYSTEMS & COMPUTERS - CONFERENCE RECORD, VOLS 1 AND 2, CONFERENCE RECORD, 2002, : 1293 - 1297
  • [2] Medical Image Denoising Based on Biquadratic Polynomial With Minimum Error Constraints and Low-Rank Approximation
    Ji, Linlin
    Guo, Qiang
    Zhang, Mingli
    IEEE ACCESS, 2020, 8 : 84950 - 84960
  • [3] An adaptive boosting procedure for low-rank based image denoising
    Fan, Linwei
    Li, Xuemei
    Fan, Hui
    Zhang, Caiming
    SIGNAL PROCESSING, 2019, 164 : 110 - 124
  • [4] Color Image Denoising Based on Low-rank Tensor Train
    Zhang, Yang
    Han, Zhi
    Tang, Yandong
    TENTH INTERNATIONAL CONFERENCE ON GRAPHICS AND IMAGE PROCESSING (ICGIP 2018), 2019, 11069
  • [5] Low-rank with sparsity constraints for image denoising
    Ou, Yang
    Li, Bailin
    Swamy, M. N. S.
    INFORMATION SCIENCES, 2023, 637
  • [6] Hyperspectral image denoising based on low-rank coefficients and orthonormal dictionary
    Zhang, Fanlong
    Yang, Guowei
    Xue, Jing-Hao
    SIGNAL PROCESSING, 2020, 177
  • [7] Hyperspectral Image Denoising Based on Global and Nonlocal Low-Rank Factorizations
    Zhuang, Lina
    Fu, Xiyou
    Ng, Michael K.
    Bioucas-Dias, Jose M.
    IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING, 2021, 59 (12): : 10438 - 10454
  • [8] HYPERSPECTRAL IMAGE DENOISING BASED ON LOW-RANK REPRESENTATION AND SUPERPIXEL SEGMENTATION
    Ma, Jiayi
    Li, Chang
    Ma, Yong
    Wang, Zhongyuan
    2016 IEEE INTERNATIONAL CONFERENCE ON IMAGE PROCESSING (ICIP), 2016, : 3086 - 3090
  • [9] Hyperspectral Image Denoising Based on Nonlocal Low-Rank and TV Regularization
    Kong, Xiangyang
    Zhao, Yongqiang
    Xue, Jize
    Chan, Jonathan Cheung-Wai
    Ren, Zhigang
    Huang, HaiXia
    Zang, Jiyuan
    REMOTE SENSING, 2020, 12 (12)
  • [10] Image denoising based on adaptive weighted low-rank matrix recovery
    Xu, Wangming
    Xing, Huasong
    Fang, Shun
    Wu, Shiqian
    Huazhong Keji Daxue Xuebao (Ziran Kexue Ban)/Journal of Huazhong University of Science and Technology (Natural Science Edition), 2023, 51 (11): : 83 - 90