Description: Application of two-dimensional wavelet transform for image denoising. Application procedures image_denoise1.m image sym5 wavelet decomposition layer 2, the direct use of all floors of the signals that the approximation of the signal after denoising. Image_denoise2.m procedures using different thresholds for denoising noisy signals, which is equivalent to twice the elimination of high-frequency noise, and different thresholds.
- [waveletdenoising.Rar] - based on wavelet transform multiple Deno
- [selfthrold] - A threshold based on wavelet image denoi
- [IntAD] - AD0 I use interrupt detection, the use o
- [mosaic] - Based on Bayesian (BAYES) Wavelet thresh
- [BayesWaveletDenoise] - From the algorithm is based on Bayesian
- [wavelets] - Image compression based on wavelet trans
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