In this paper, we present a spatially adaptive filter for color median filtering. Several alternative implementations of such a filter are given, using different ways of gradient computation. Then, several methods of color median filtering are compared in terms of performance on a particular image. Vector median filters are considered as well as median filters inspired by grey-

The explosive growth in the amount of available digital information higher education has created a potential challenge overload, which hampers timely access to items interest. recommender systems are applied different domains such as recommendations film, tourist advising, webpages, news, songs, and products. But pay less attention university library services. most users students. These have la...

An Iterative Unsymmetrical Trimmed Midpoint-Median Filter for Removal of High Density Salt and Pepper Noise in gray scale images is presented in this paper. This efficient filtering technique is implemented in two phases. In the first phase, the proposed midpoint median filter is applied to the noisy pixels iteratively two times iteratively. In the second phase, the Modified Decision based Mean...

Median graph is an important new concept introduced to represent a set of graphs by a representative graph. Computing the median graph is an NPComplete problem. In this paper, we propose an approximate algorithm for computing the median graph. Our algorithm performs in two steps. It first carries out a node reduction process using a clustering method to extract a subset of most representative n...

In this paper, we introduce iterative mean and median filtering schemes for smoothing noisy 3D shapes given as triangle meshes. Our main idea consists of applying mean and median filtering schemes to mesh normals and then update the mesh vertex position in order to fit the mesh to the modified normals. We also give a quantitative evaluation of the proposed mesh filtering schemes and compare the...

This paper presents new adaptive filtering techniques used in speech enhancement system. Adaptive filtering schemes are subjected to different trade-offs regarding their steady-state misadjustment, speed of convergence, and tracking performance. Fractional Least-Mean-Square (FLMS) is a new adaptive algorithm which has better performance than the conventional LMS algorithm. Normalization of LMS ...