DocumentCode :
1934502
Title :
Spatially Adaptive Image Denoising Based on Complex Wavelet Coefficients
Author :
Zhao, Ping ; Zhao, Chun ; Shang, Zhaowei
Author_Institution :
Sch. of Sci., Beijing Jiaotong Univ.
Volume :
2
fYear :
2006
fDate :
16-20 2006
Abstract :
We propose a computationally feasible adaptive noise smoothing algorithm that considers the local dependency characteristics of images under the complex dual-tree discrete wavelet transform (DWT). The wavelet coefficients with complex dual-tree discrete wavelet are assumed to be zero-mean Gaussian random variables. The variances of local statistics of each coefficient are estimated with a centered square-shaped window for every pixel. Some comparisons with the best available results will be given in order to illustrate the effectiveness of the proposed algorithm
Keywords :
Gaussian processes; discrete wavelet transforms; image denoising; smoothing methods; DWT; adaptive noise smoothing algorithm; complex wavelet coefficients; dual-tree discrete wavelet transform; spatially adaptive image denoising; zero-mean Gaussian random variables; Continuous wavelet transforms; Discrete wavelet transforms; Educational institutions; Image denoising; Image processing; Mathematics; Noise reduction; Statistics; Wavelet coefficients; Wavelet transforms;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Signal Processing, 2006 8th International Conference on
Conference_Location :
Beijing
Print_ISBN :
0-7803-9736-3
Electronic_ISBN :
0-7803-9736-3
Type :
conf
DOI :
10.1109/ICOSP.2006.345554
Filename :
4129035
Link To Document :
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