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

Keywords

Related Articles

Architecture for Mobile based Face Detection / Recognition

In this paper a novel description of Face Detection-Recognition architecture through mobile devices is presented. Since the face detection/recognition is of importance in real-life scenarios, such as for authentication a...

Palmprint Recognition in Eigen-space

This paper proposes a novel technique for palmprint recognition in context to biometric identification of a person. Palmprints are images of the inner portion of a person’s palm and consist of a complex pattern of random...

Wireless Sensor Network (WSN): Architectural Design issues and Challenges

Wireless sensor network (WSN) is an infrastructure less, low cost, dynamic topology, appplication oriented, multihoping network design with small, low power, sensing wireless distributed nods. WSN designing become more...

Centroid-Point of Ranking Fuzzy Numbers and Its Application to Health Related Quality of Life Indicators

Ranking of fuzzy numbers is not an easy task as fuzzy numbers are represented by possibility distributions and they can overlap with each other. Since it was introduced, various approaches on ranking fuzzy numbers have b...

Semantic Web Services and Its Approaches

OWL-S, IRS, WSMF are the prominent field that are the major part for Semantic Web Services. IRS-III is the first WSMO Compliant and implemented structure to support Semantic Web Services.IRS-III is the extension of previ...

Download PDF file
  • EP ID EP85442
  • DOI -
  • Views 124
  • Downloads 0

How To Cite

Vishal R. Jaiswal, Girish P. Potdar, Suhas H. Patil, Shrishail T. Patil (2010). Multiframe Image Super-resolution – A Comparison. International Journal on Computer Science and Engineering, 2(9), 2989-2992. https://www.europub.co.uk/articles/-A-85442