1. Comparison and Improvements of Image Denoising Based on Wavelet Transform
- Author
-
Xue Mei Xiao
- Subjects
Discrete wavelet transform ,Lifting scheme ,Wavelet transform modulus maxima method ,business.industry ,Computer science ,Noise reduction ,Stationary wavelet transform ,Second-generation wavelet transform ,Multiresolution analysis ,Wavelet transform ,Pattern recognition ,Image processing ,Cascade algorithm ,General Medicine ,Non-local means ,Wavelet packet decomposition ,Wavelet ,Computer Science::Sound ,Computer Science::Computer Vision and Pattern Recognition ,Artificial intelligence ,Harmonic wavelet transform ,business ,Continuous wavelet transform - Abstract
Wavelet transform denoising is an important application of wavelet analysis in signal and image processing. Several popular wavelet denoising methods are introduced including the Mallat forced denoising, the wavelet transform modulus maxima method and the nonlinear wavelet threshold denoising method. Their advantages and disadvantages are compared, which may be helpful in selecting the wavelet denoising methods. At the same time, several improvement methods are offered.
- Published
- 2015