SAR Image Denoising Using Multi Spinning Concept

被引:0
|
作者
Sivaranjani, R.
Roomi, S. Mohammed Mansoor
机构
关键词
Speckle; wavelets; cycle spinning; PSNR; NOISE;
D O I
暂无
中图分类号
TP301 [理论、方法];
学科分类号
081202 ;
摘要
Removing noise from the original signal is still a challenging problem for all types of image processing applications. Speckle noise is often an undesirable effect in SAR image processing. There is a contradiction between denoising effect and detail-preserving ability. The primary goal of speckle reduction is to remove the speckle without losing much detail contained in an image. This paper presents a denoising scheme for multiplicative speckle noise using multi spinning concept. The proposed approach provides good visual quality.
引用
收藏
页码:439 / 443
页数:5
相关论文
共 50 条
  • [31] A NOTE ON MULTI-IMAGE DENOISING
    Buades, Toni
    Lou, Yifei
    Morel, J. M.
    Tang, Zhongwei
    LNLA: 2009 INTERNATIONAL WORKSHOP ON LOCAL AND NON-LOCAL APPROXIMATION IN IMAGE PROCESSING, 2009, : 1 - +
  • [32] Multi-View Image Denoising Using Convolutional Neural Network
    Zhou, Shiwei
    Hu, Yu-Hen
    Jiang, Hongrui
    SENSORS, 2019, 19 (11)
  • [33] Using CNN with Multi-Level Information Fusion for Image Denoising
    Xie, Shaodong
    Song, Jiagang
    Hu, Yuxuan
    Zhang, Chengyuan
    Zhang, Shichao
    ELECTRONICS, 2023, 12 (09)
  • [34] Research on SAR image denoising method based on feature extraction
    Wei, Shaoming
    Ma, Xin
    Qu, Fangrui
    Wang, Jun
    Liang, Tian
    Chen, Dehong
    ELECTRONICS LETTERS, 2024, 60 (08)
  • [35] Convolutional Neural Network and Guided Filtering for SAR Image Denoising
    Liu, Shuaiqi
    Liu, Tong
    Gao, Lele
    Li, Hailiang
    Hu, Qi
    Zhao, Jie
    Wang, Chong
    REMOTE SENSING, 2019, 11 (06)
  • [36] SAR image denoising based on wavelet-fractal analysis
    Zhao Jian1
    2. School of Information Science and Technology
    Journal of Systems Engineering and Electronics, 2007, (01) : 45 - 48
  • [37] HTCNet: Hybrid Transformer-CNN for SAR Image Denoising
    Huang, Min
    Luo, Shuaili
    Wang, Shuaihui
    Guo, Jinghang
    Wang, Jingyang
    IEEE JOURNAL OF SELECTED TOPICS IN APPLIED EARTH OBSERVATIONS AND REMOTE SENSING, 2024, 17 : 19380 - 19394
  • [38] SAR image denoising based on wavelet-fractal analysis
    Zhao Jian
    Cao Zhengwen
    Zhou Mingquan
    JOURNAL OF SYSTEMS ENGINEERING AND ELECTRONICS, 2007, 18 (01) : 45 - 48
  • [39] SAR Image Adaptive Enhancement by Denoising Based on Contourlet Transform
    Li, Jiaxing
    Zhang, Dexiang
    Chen, Zihong
    2ND INTERNATIONAL CONFERENCE ON SENSORS, INSTRUMENT AND INFORMATION TECHNOLOGY (ICSIIT 2015), 2015, : 177 - 180
  • [40] SIFSDNET: SHARP IMAGE FEATURE BASED SAR DENOISING NETWORK
    Thakur, Ramesh Kumar
    Maji, Suman Kumar
    2022 IEEE INTERNATIONAL GEOSCIENCE AND REMOTE SENSING SYMPOSIUM (IGARSS 2022), 2022, : 3428 - 3431