Wavelet Denoising Image Processing Based on MATLAB
DOI:
https://doi.org/10.54097/ajst.v6i2.9436Keywords:
Wavelet Denoising Algorithm, Threshold Denoising.Abstract
This article uses MATLAB to simulate the wavelet denoising algorithm. The threshold denoising was simulated using the function method, triple standard deviation method, fixed threshold algorithm, Haar, sym5, Coif3, and db3 wavelet bases. The simulation results show that using the fixed threshold method, the Haar wavelet has the best denoising effect.
Downloads
References
Gunawan D. Denoising images using wavelet transform [A]. In: Proceedings of the IEEE Pacific Rim Conference on Communications, Computers and Signal Processing[C]. Victoria BC, USA, 1999:83-85.
Ching P C, So H C, Wu S Q. On wavelet denoising and its applications to tim e delay estimation[J]. IEEE Trans. Signal Processing , 1999:2879-2882.
Jansen M, Bultheel A. Multiple wavelet thres hold estimation by generalized cross validation for images with correlated noise[J]. IEEE Trans. Image Processing, 1999, （8）:947-953.
Krim H, Schick I C. Minimaxdes cription length for signal denoising and optimized represent ation[J]. IEEE Trans. Informati on Theory, 1999:898-908.
Xu Yansun, Weaver J B, Healy M J etal. Wavelet transform domain filters: A s patially selective noise filtration technique[J]. IEEE Trans. Image Processing, 1994:743-758.
Downloads
Published
Issue
Section
How to Cite
