• DocumentCode
    588850
  • Title

    Image Denoising Based on Wave Atoms and Cycle Spinning

  • Author

    Zhang Wei-qiang ; Song Yi-Mei ; Feng Ji-qiang

  • Author_Institution
    Inst. of Intell. Comput. Sci., Shenzhen Univ., Shenzhen, China
  • fYear
    2012
  • fDate
    17-18 Nov. 2012
  • Firstpage
    310
  • Lastpage
    313
  • Abstract
    A new method for image denoising was presented", "which colligated the strong point of wave atoms transform and Cycle Spinning. Due to lack of translation invariance of wave atoms transform", "image denoising by coefficient thresholding would lead to Pseudo-Gibbs phenomena. Cycle Spinning was employed to avoid the artifacts. Experimental results show that the method can remove noisy and remain edges, while Pseudo-Gibbs phenomena are controlled efficiently, and can get better visual effect and PSNR gains compared with the methods like simplex wave atoms or wavelet denoising using Cycle Spinning. And in heavy background noise, this advantage is significant.
  • Keywords
    image denoising; wavelet transforms; PSNR gains; Pseudo-Gibbs phenomena; background noise; coefficient thresholding; cycle spinning; image denoising; translation invariance; visual effect; wave atoms transform; Image denoising; Image edge detection; Noise reduction; Oscillators; PSNR; Spinning; Wavelet transforms; Cycle Spinning; denoising; image processing; translation invariance; wave atoms; wavelet transforms;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computational Intelligence and Security (CIS), 2012 Eighth International Conference on
  • Conference_Location
    Guangzhou
  • Print_ISBN
    978-1-4673-4725-9
  • Type

    conf

  • DOI
    10.1109/CIS.2012.76
  • Filename
    6405851