Nowadays, wavelet transform (WT) is widely used in the realm of signal denoising, has
proven a high effectiveness in terms of time and quality concerning denoising methods …

Blind image separation based on wavelet transform (WT) enhancement algorithm for the
pulse thermography was introduced as a novel modality to recognize the debonding defects …

Abstract Carotid Intima Media Thickness (cIMT) is simple and inexpensive clinical marker
used for the prediction and assessment of future cardio/cerebrovascular diseases. The B …

The local orthogonalization (LO) approach has been broadly applied to attenuate random
noise and deal with the signal-leakage problem induced using the traditional denoising …

In the field of biomedical imaging, the ultrasound (US) B-Scan images are used for tissue
characterization. These images are obtained with a simple linear or sector scan US probe …

These Wavelet thresholding is a signal estimation technique that exploits the capabilities of
wavelet transform for signal denoising applications. But the optimal choice of the wavelet …

The image often contains noises due to several factors such as a problem in devices or due
to an environmental problem etc. Noise is mainly undesired information, which degrades the …

There are two main problems in the threshold denoising method based on wavelet
transform. One is the difficulty of threshold selection, and the other is the inconsistence of the …

This paper presents an overview of various threshold methods for image denoising. Wavelet
transform based denoising techniques are of greater interest because of their performance …

Along with the great performance in diagnosing cardiovascular diseases, current
stethoscopes perform unsatisfactorily in controlling undesired noise caused by the …