Multiframe Image Super-resolution – A Comparison
Journal Title: International Journal on Computer Science and Engineering - Year 2010, Vol 2, Issue 9
Abstract
The subject of resolution enhancement has become one of the most important digital processing applications in recent years. This paper focuses on comparison of two multiframe image super-resolution algorithms. Variety of image quality measures are used to assess the results. Results show that Robust algorithm gives slightly better results as compared to Fast Robust but consumes more time.
Authors and Affiliations
Vishal R. Jaiswal , Girish P. Potdar , Suhas H. Patil , Shrishail T. Patil
Image Mining using Content Based Image Retrieval System
The image depends on the Human perception and is also based on the Machine Vision System. The Image Retrieval is based on the color Histogram, texture. The perception of the Human System of Image is based on the Human Ne...
Neural Network approach for image retrieval based on preference elicitation
Multimedia technologies have been developing rapidly over the last few years and have yielded a large umber of databases containing graphical documents. Tools for content-based search of graphical objects have been the s...
Mobile Wireless Enhanced Routing Protocol in Adhoc Networks
Adhoc network consists of peer-to-peer communicating nodes that are highly mobile. As such, an ad-hoc network lacks nfrastructure and the topology of the network changes ynamically. The task of routing data from a source...
Regression and ARIMA hybrid model for new bug prediction
A multiple linear regression and ARIMA hybrid model is proposed for new bug prediction depending upon resolved bugs and other available parameters of the open source software bug report. Analysis of last five year bug r...
DISTRIBUTED DATA MINING AND MINING MULTI-AGENT DATA
The problem of distributed data mining isvery important in network problems. Ina distributed environment (such as a sensor or IP network), one has distributed probes placed at strategic locations within the network. The...