Background: Digital images are captured using sensors during the data acquisition phase, where they are often contaminated by noise (an undesired random signal). Such noise can also be produced during transmission or by poor-quality lossy image compression. Reducing the noise and enhancing the images are considered the central process to all other digital image processing tasks. The improvement...

BACKGROUND The signals acquired in brain-computer interface (BCI) experiments usually involve several complicated sampling, artifact and noise conditions. This mandated the use of several strategies as preprocessing to allow the extraction of meaningful components of the measured signals to be passed along to further processing steps. In spite of the success present preprocessing methods have t...

Abstract Image denoising faces significant challenges, arising from the sources of noise. Specifically, Gaussian, impulse, salt, pepper, and speckle noise are complicated in imaging. Convolutional neural network (CNN) has increasingly received attention image task. Several CNN methods for images have been studied. These used different datasets evaluation. In this paper, we offer an elaborate st...

Variational methods are very common in image processing. They are used for denoising, deblurring, segmentation or inpainting. In this short paper we review a method for the solution of a special class of variational problems, presented in [2]. We show applications to TV denoising and new applications to total variation deblurring, wavelet shrinkage and texture extraction. Moreover this approach...

This paper proposes a four stage, denoising, feature extraction, optimization and classification method for detection of premature ventricular contractions. In the first stage, we investigate the application of wavelet denoising in noise reduction of multi-channel high resolution ECG signals. In this stage, the Stationary Wavelet Transform is used. Feature extraction module extracts ten ECG mor...

Graph-based Image Restoration by Amin Kheradmand Digital photography has experienced great progress during the past decade. A lot of people are recording their moments via digital hand-held cameras. Pictures taken with digital cameras usually undergo some sort of degradation in the form of noise/blur depending on the camera hardware and environmental conditions in which the photos are taken. Th...