Facial Image Noise Removal Via a Trained Dictionary
Journal Title: INTERNATIONAL JOURNAL OF COMPUTER TRENDS & TECHNOLOGY - Year 2014, Vol 9, Issue 1
Abstract
In this project we address that, sparsity has shown to be useful in source separation. In most cases, the sources are not sparse currently and needs to sparsify them using a known dictionary. The problem here is that, if the sparse domain is not available then it will be difficult to recover the source using the current algorithms. In-order to address this problem we fuse the dictionary into the source separation. We define a cost function based on the idea and propose by extending the de-nosing method and minimize it. The term sparse refers to signals or images with small number of non - zeros with respect to some representation bases. In sparse component analysis (SCA), the assumption is that the sources can be sparsely represented using a known common basis or dictionary. The existing system defines that the techniques like MCA which is used provide a noisy mixture and present the source. In the proposed technique FastICA algorithm which employs a modified Gaussian for blind source separation. The proposed non-linear function which is used to separate image mixtures and result in faster execution and in good quality image separation
Authors and Affiliations
Sudharson. D , Kavinraj. A. S , Sridhar. S , C. Dinesh Kumar
Real Time Detection of Odd Behavior and Irrelevant Promotion in Video Sharing Systems
Metacafe is one of the most popular video sharing system among all online video sharing systems, these video sharing systems provide features that allow users to post a video as a response to the topic that is being disc...
Error Resilient Schemes for Region of Interest based Video Coding
In video applications, not all regions of a particular frame are of equal importance. There are one or more regions in a video frame that have higher importance than the rest of the frame. In medical videos, only part of...
Study of TCP Packet Labeling to Alleviate Time-Out
Many applications (e.g., cluster based storage and Map Reduce) in modern data centers require a high fan-in, many- to-one type of data communication (known as TCP in cast), which could cause severe in cast congestion in...
OSI Reference Model: An Overview
A reference model is a conceptual blueprint of how communication should take place. It addresses all the process required for effective communication and divides these processes into logical grouping called layers. When...
Improved 3-Dimensional Security in Cloud Computing
Cloud computing is a trending technology in the field of Information Technology as it allows sharing of resources over a network. The reason Cloud computing gained traction so rapidly was because of its performance, avai...