DIGITAL IMAGE PROCESSING TECHNIQUES FOR DETECTION AND REMOVAL OF NOISE IN IMAGES IMPLEMENTING BLIND SOURCE SEPARATION
Journal Title: International Journal on Computer Science and Engineering - Year 2011, Vol 3, Issue 8
Abstract
In different fields, the problem of Blind Source Separation (BSS) is known as a collection of linear combinations of unknown sources and worse the coefficients of the linear combinations that are unknown. The main problem is to estimate the matrix of the combination coefficients (mixing matrix) and to reconstruct the sources according to it. The quality of separation of sources from mixtures dramatically is done by exploiting the quality of sparsity of sources, whereby the sources are properly represented according to some collection of signals. There are two main approaches to the “blind source separation” problem solution they are clustering and ICA (independent component analysis).
Authors and Affiliations
K Devaki Devi , Dr GN Swamy
Keywords
Related Articles
- EP ID EP155504
- DOI -
- Views 114
- Downloads 0
Hybrid Neuro-Fuzzy Systems for Software Development Effort Estimation
The major prevailing challenges for Software Projects are Software Estimations like cost estimation, effort estimation, quality estimation and risk analysis. Though there are several algorithmic cost estimation models in...
Simultaneous Pattern and Data Clustering Using Modified K-Means Algorithm
In data mining and knowledge discovery, for finding the ignificant correlation among events Pattern discovery (PD) is used. PD typically produces an overwhelming number of patterns. Since there are too many patterns, it...
Grid Computing: A Collaborative Approach in Distributed Environment for Achieving Parallel Performance and Better Resource Utilization
From the very beginning various measures are taken or consider for better utilization of available limited resources in he computer system for operational environment, this is came n consideration because most of the...
Hypothetical Description for Intelligent Data Mining
Intelligent data mining is to use the intelligent search to iscover information within data warehouses those queries and reports cannot effectively reveal and to find the patterns in the data and infer rules from them,...
IMPLEMENTATION OF REPUTATION EXCHANGE PROTOCOL IN PEER-TO-PEER SYSTEM
The motivation behind basing applications on peer-to-peer architectures derives to a large extent from their ability to function, scale and self-organize in the presence of a highly transient population of nodes, network...