A Fuzzy Noise Reduction Method for Color Images - IEEE TRANSACTIONS ON IMAGE PROCESSING, VOL. 16, NO. 5, - java

Abstract—A new fuzzy filter is presented for the reduction of additive
noise for digital color images. The filter consists of two subfilters.
The first subfilter computes fuzzy distances between the color
components of the central pixel and its neighborhood. These distances
determine in what degree each component should be corrected.
All performed corrections preserve the color component
distances. The goal of the s ....etc

[:=Read Full Message Here=:]

hyperspectral image dimensional reduction matlab code plzz ....etc

[:=Read Full Message Here=:]

Abstract— Similarity search has been widely used in many applications such as information retrieval, image data analysis, and time-series matching. Previous work on similarity search usually consider the search problem in the full space. In this paper, however, we tackle a problem, subspace similarity search, which finds all data objects that match with a query object in the subspace instead of the original full space. In particular, the query object can specify arbitrary subspace with arbitrary number of dimensions. Due to the exponential nu ....etc

[:=Read Full Message Here=:]

Abstract
In this work, we proposed a comparative analysis forthe performance-complexity tradeoff of several Hybrid Groupblindmultiuser detectors with polynomial expansion (MuDGroup-Blind PE). Using flop notation, the computacionalcomplexity for the three forms of SBld-MuD-II hybrid detectorbased on polinomial approximation was compared. MCS resultsindicated the superiority of the SBld-MuD-I detector in thepresence of parameters errors estimates and for the SBld-MuD-IIdetector with polinomial approach based on Gershgorin circles.
Keyw ....etc

[:=Read Full Message Here=:]

Maximal Subspace Co regulated Gene Clustering - IEEE TRANSACTIONS ON KNOWLEDGE AND DATA ENGINEERING, VOL. 20, NO. 1, – java
Abstract—
Clustering is a popular technique for analyzing microarray data sets, with n genes and m experimental conditions. As explored by biologists, there is a real need to identify coregulated gene clusters, which include both positive and negative regulated gene clusters. The existing pattern-based and tendency-based clustering approaches cannot directly be applied to find such
coregulated gene clusters, ....etc

[:=Read Full Message Here=:]

sir need matlab code for removal of mixed guassian and impulse noise from the color images.......please help me out in this regard
....etc

[:=Read Full Message Here=:]

ppt on speckle noise reduction in ultrasound images using discrete wavelet transform with median and weiner filtering ....etc

[:=Read Full Message Here=:]

Towards Real-Time Compression of Hyperspectral Images Using Virtex-II FPGAs
Antonio Plaza
Department of Computer Science, University of Extremadura
Avda. de la Universidad s/n, E-10071 Caceres, Spain


Abstract.
Hyperspectral imagery is a new type of high-dimensional image data which is now used in many Earth-based and planetary exploration applications. Many efforts have been devoted to designing and developing compression algorithms for hyperspectral imagery. Unfortunately, most availa ....etc

[:=Read Full Message Here=:]

pls sir send ppt on fuzzy filter for impulse noise reduction in color image.
my email id --- [email protected] ....etc

[:=Read Full Message Here=:]

ADAPTIVE TECHNIQUES BASED HIGH IMPULSIVE NOISE DETECTION AND REDUCTION OF A DIGITAL IMAGE
ABSTRACT
As reducing impulse noise in a digital image is a very active research area in image processing, this paper proposes a novel algorithm for digital image impulsive noise detection and reduction based on adaptive nonlinear techniques which seems to be a boom in digital image restoration process. The main objective of this algorithm is to consider a particular digital image as input and make the preprocessing to remove the impulsive ....etc

[:=Read Full Message Here=:]