Image denoising is a challenging research problem that aims to recover noise-free images from those are contaminated with noise. In this paper, we focus on the of additive white Gaussian For purpose, propose an ensemble learning model uses output three image models, namely ADNet, IRCNN, and DnCNN, in ratio 2:3:6, respectively. The first (ADNet) consists Convolutional Neural Networks attention a...

There are two natural orderings in signals: temporal order and rank order. There is no compelling reason to explore only one of these orderings, either in the discrete-time or in the continuous-time case. Nevertheless, the concept of rank order for continuous-time signals remains virtually unstudied, which is in striking contrast to the discrete-time case: ranked order discrete-time filters, of...

When selecting a filter for an application, it is often essential to know the behaviour of the filter in presence of contamination. This robustness of a filter is traditionally explored by means of influence function (IF) and change-of-variance function (CVF). However, as these are asymptotic measures there is uncertainty of the applicability of the obtained results to the finite length filters...

This work shows that the following problems are equivalent, both in theory and in practice: • median filtering : given an n-element vector, compute the sliding window median with window size k, • piecewise sorting : given an n-element vector, divide it in n/k blocks of length k and sort each block. By prior work, median filtering is known to be at least as hard as piecewise sorting: with a sing...

Physical quantities referring to angles, like vector direction, color hue, etc., exhibit an inherently periodic nature. Due to this periodicity, digital filters and edge operators proposed for data on the line cannot be applied on such data. In this paper, we introduce filters for angular signals (circular mean, circular median, circular a-trimmed mean, circular modified trimmed mean). Particul...

This paper presents a new motion estimation algorithm to improve the performance of the existing searching algorithms at a relative low computational cost. We try to amend the incorrect and/or inaccurate estimate of motion with higher precision by using adaptive weighted median filtering and its modifications. The median filter is well-known. A more general filter, called the Adaptively Weighte...