In this paper, a median filtering-based hierarchical motion vector estimation scheme making use of a pyramidal data structure is proposed. Compared to the conventional hierarchical motion vector estimation schemes, the proposed scheme overcomes the problem of propagation of false motion vectors across resolutions. Simulation studies show that the proposed scheme not only improves the prediction...

Abstrak –The objective of this paper is a new MeanMedian filtering for denoising extremely corrupted images by impulsive noise. Whenever an image is converted from one form to another, some of degradation occurs at the output. Improvement in the quality of these degraded images can be achieved by the application of Restoration and /or Enhancement techniques. Noise removing is one of the categor...

Two fast algorithms for median ltering of images using parallel computers having 2-D mesh interconnections are given. Both algorithms assume that an n n image is loaded onto the mesh with one processing element per pixel. One algorithm performs median ltering over d d neighborhoods in O(d 2 ) time and works with pixel values in an arbitrarily large range. This algorithm, while theoretically sub...

Inspired by the concept of the colour filter array (CFA), the research community has shown much interest in adapting the idea of CFA to the multispectral domain, producing multispectral filter arrays (MSFAs). In addition to newly devised methods of MSFA demosaicking, there exists a wide spectrum of methods developed for CFA. Among others, some vector based operations can be adapted naturally fo...

This paper deals with median filtering techniques suitable for digital color images. Median filters have successfully been used in gray scale imaging to remove impulsive noise but their extension to color images is not direct. The main difficulty is that an order has to be defined to sort the color vectors. In this paper, we selected four classical different and well established approaches prop...

In TREC 2012, we participated in the search and filtering tasks of the Microblog Track. The Microblog track is in its second year, and whilst the real-time ad-hoc search task remained very similar to 2011, a new real-time filtering task was introduced. For both tasks, we made use of temporal evidence and a burst detection algorithm to re-rank documents created during bursty periods. We also mad...

In TREC 2012, we participated in the search and filtering tasks of the Microblog Track. The Microblog track is in its second year, and whilst the real-time ad-hoc search task remained very similar to 2011, a new real-time filtering task was introduced. For both tasks, we made use of temporal evidence and a burst detection algorithm to re-rank documents created during bursty periods. We also mad...