Earticle

초록

영어

Aiming at the problem of ground penetrating radar image denoising, a new adaptive image denoising algorithm based on nonsubsampled Contourlet transform is proposed. The algorithm firstly performs nonsubsampled Contourlet transform to the noise image, to obtain the coefficients of each directional sub band and each scale, then, according to the energy of the coefficient, the denoising threshold value is adjusted adaptively. Simulation results show that, compared with the wavelet threshold denoising algorithm, the proposed algorithm can effectively remove the Gauss white noise in the image, improve the peak signal to noise ratio (PNSR), while preserving the edge details of the image, it can improve the PSNR value and reduce the Gibbs phenomenon.

목차

Abstract
 1. Introduction
 2. Contourlet Transform and Nonsubsampled Contourlet Transform
  2.1. Contourlet Transform
  2.2. Nonsubsampled Contourlet Transform
 3. Adaptive Threshold Image Denoising Based on no subsampled Contourlet Transform
  3.1. The Principle of Adaptive Threshold Denoising Based on Nonsubsampled Contourlet Transform
  3.2. The Step of Adaptive Threshold Denoising Based on Nonsubsampled Contourlet Transform
 4. Experimental Results
 5. Conclusion
 References

키워드

저자

• Wu Peng [ College of Mechanical and Electronic Engineering, Northeast Forestry University, Harbin 150040 China ]
• Xu Hongling [ College of Mechanical and Electronic Engineering, Northeast Forestry University, Harbin 150040 China ]
• Xie Pengcheng [ College of Mechanical and Electronic Engineering, Northeast Forestry University, Harbin 150040 China ]

참고문헌

발행기관

간행물

표지보기 관심저널 등록

• 간행물명

  International Journal of Signal Processing, Image Processing and Pattern Recognition

• 간기

  격월간

• pISSN

  2005-4254

• 수록기간

  2008~2016

• 십진분류

  KDC 505 DDC 605