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- Title
Video Denoising based on Stationary Wavelet Transform and Center Weighted Median Filter.
- Authors
Soundarya, K.
- Abstract
Noise removal using wavelet has the characteristic of preserving signal uniqueness even if noise is going to be minimized. Images are getting corrupted by impulse noise during image acquisition and transmission. A new median filter termed as the center weighted median filter (CWMF) in the wavelet coefficient domain combined with stationary wavelet transform (SWT) is proposed for video denoising. This filter iteratively smoothes the noisy wavelet coefficients variances preserving the edge information contained in the large magnitude wavelet coefficients. This Paper deals with uncompressed video of .avi format. The proposed algorithm works well for suppressing Gaussian noise with noise density from 10 to 70% while preserving image details. Simulation results show that higher peak signal to noise ratio can be obtained as compared to other recent image denoising methods.
- Subjects
SIGNAL denoising; WAVELET transforms; ARITHMETIC mean; REGRESSION quantiles; STATISTICS
- Publication
Computer Science & Telecommunications, 2014, Vol 43, Issue 3, p3
- ISSN
1512-1232
- Publication type
Article