The advent of computer aided technologies image processing techniques have become
increasingly important in a wide variety of medical applications. Intervention between the …

Medical imaging is a complex process that capitulates images created by X-rays, ultrasound
imaging, angiography, etc. During the imaging process, it also captures image noise during …

To take advantage of the consistent and automated measurement capability of Computer
Vision Systems (CVS), an initial CVS with inclined imaging of the food object was developed …

In medical imaging, researchers usually encounter with different types of noise; for
eliminating this noise, different methods have been suggested in both spatial and frequency …

Reduction of noise has a considerable effect in medical image processing and computer
vision analysis. Medical images are affected by noise due to low radiation exposure …

On the basis of wavelet theory, a novel Adaptive wavelet thresholding method (AWT) is
proposed for the ECG signal enhancement. The best base wavelet for ECG signal filtering …

To overcome the problem of image de-noising, a novel technique based on non-
subsampled shearlet transform (NSST) and intuitionistic fuzzy entropy (IFE) is proposed in …

This study presents a new Perona–Malik (PM) model which is based on new non‐local
means (NLM) theory for an image denoising. In the proposed model, the intensity, space …

This paper presents a new diffusion coefficient which is based on second order derivative
and local entropy information for image denoising. In the proposed model, a second order …

This study is about using the genetic algorithm (GA) with wavelet transform (WT) for
Arrhythmia Electrocardiogram (ECG) signal denoising purposes. The WT is a time-frequency …