A novel image denoising method for matched filtering system

被引:0
|
作者
Xin, Xu [1 ]
机构
[1] Chongqing Elect Power Res Inst, Chongqing 401123, Peoples R China
关键词
image denoising; matched filtering; low-frequency coherent noise;
D O I
10.4028/www.scientific.net/AMM.263-266.2469
中图分类号
TP39 [计算机的应用];
学科分类号
081203 ; 0835 ;
摘要
One method is proposed to remove the random noise and low-frequency coherent noise in the images of the optic 4f system, which is based on fusion of multiple spatial frequency spectrum images. The multiple spatial frequency spectrum images of once experiment are captured based on the image copying character from the lattice structure of spatial light modulators, which contains the same useful image information and noise with the similar distribution but different values. The random noise and coherent noise in these images are removed by combining it utilizing image fusion technique, which is similar to cumulative mean in time domain. The theoretical analysis and physical experiment suggests that the method is able to remove random noise and low-frequency coherent noise effectively and reserve the useful image information.
引用
收藏
页码:2469 / 2476
页数:8
相关论文
共 50 条
  • [1] A novel method of Medical image denoising using bilateral and NLm filtering.
    Mohan, Mahesh M. R.
    Sheeba, V. S.
    2013 THIRD INTERNATIONAL CONFERENCE ON ADVANCES IN COMPUTING AND COMMUNICATIONS (ICACC 2013), 2013, : 186 - 191
  • [2] Novel matched filtering method and its application in radar system
    Meng, Fei
    Xie, Lianggui
    Li, Raohui
    JOURNAL OF SYSTEMS ENGINEERING AND ELECTRONICS, 2010, 21 (05) : 759 - 762
  • [4] Edge Aware Adaptive Filtering Method for Image Denoising
    Wieclawek, Wojciech
    Rudzki, Marcin
    PROCEEDINGS OF THE 25TH INTERNATIONAL CONFERENCE MIXED DESIGN OF INTEGRATED CIRCUITS AND SYSTEM (MIXDES 2018), 2018, : 371 - 375
  • [5] A novel denoising method for infrared image based on bilateral filtering and non-local means
    刘凤连
    孙梦尧
    蔡文娜
    Optoelectronics Letters, 2017, 13 (03) : 237 - 240
  • [6] A novel denoising method for infrared image based on bilateral filtering and non-local means
    Liu F.-L.
    Sun M.-Y.
    Cai W.-N.
    Optoelectronics Letters, 2017, 13 (3) : 237 - 240
  • [7] A novel algorithm for image denoising based on unscented Kalman filtering
    School of Electronic Information and Electrical Engineering, Shanghai Jiao Tong University, Georgia Institute of Technology, Shanghai Campus, Shanghai, 200240, China
    不详
    Int. J. Inf. Commun. Technol., 3-4 (343-353):
  • [8] Rendered image denoising method with filtering guided by lighting information
    MA Minghui
    HU Xiaojuan
    ZHANG Ripei
    CHEN Chunyi
    YU Haiyang
    Optoelectronics Letters, 2025, 21 (04) : 242 - 248
  • [9] Rendered image denoising method with filtering guided by lighting information
    Ma, Minghui
    Hu, Xiaojuan
    Zhang, Ripei
    Chen, Chunyi
    Yu, Haiyang
    OPTOELECTRONICS LETTERS, 2025, 21 (04) : 242 - 248
  • [10] Directional total variation filtering based image denoising method
    Karthik, S., 1600, International Journal of Computer Science Issues (IJCSI) (09):