Name
Title | ||
|---|---|---|
A Multiscale and Multidirectional Image Denoising Algorithm Based on Contourlet Transform |
Abstract | ||
|---|---|---|
In this paper, we propose a novel image denoising algorithm in Contourlet domain. The Contourlet transform is adopted by virtual of its advantages over the Wavelet transform in order to obtain a flexible multiresolution, local, and directional image expansion using contour segments, it is good at isolating the smoothness along the contours. We present a weighing factor which submits to the negative exponential distribution, it can combine the hard thresholding function with the soft thresholding, the new thresholding function is continuous[4]. We adapt different thresholdings on different scales and different directions to get better denoising results. Experimental results demonstrate that the proposed algorithm improves the SNR on a certain extent. |
Year | DOI | Venue |
|---|---|---|
2006 | 10.1109/IIH-MSP.2006.19 | IIH-MSP |
Keywords | Field | DocType |
contourlet transform,different scale,denoising result,different thresholdings,multidirectional image,novel image,contourlet domain,new thresholding function,hard thresholding function,different direction,soft thresholding,directional image expansion,image resolution,noise reduction,fourier transforms,signal processing,wavelet transform,exponential distribution,image segmentation,wavelet transforms | Harmonic wavelet transform,Non-local means,Computer science,Artificial intelligence,Discrete wavelet transform,Thresholding,Contourlet,Wavelet transform,Wavelet,Computer vision,Pattern recognition,Algorithm,Video denoising | Conference |
ISBN | Citations | PageRank |
0-7695-2745-0 | 5 | 0.60 |
References | Authors | |
4 | 4 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Bei-bei Li | 1 | 5 | 0.60 |
| Xin Li | 2 | 5 | 0.60 |
| Shuxun Wang | 3 | 31 | 8.61 |
| Haifeng Li | 4 | 379 | 18.08 |