Implementation of Max Principle with PCA in image fusion for Surveillance and Navigation Application

Authors

  • Senthil Kumar Sadhasivam St.Joseph's College of Engineering, Chennai, India
  • Mahesh Bharath Keerthivasan The University of Arizona
  • Muttan S College of Engineering, Anna University, Chennai, India

Abstract

Image fusion is the combination of two or more different images by using suitable algorithms to form an output image. It provides a useful tool to integrate multiple images into a composite image. In this paper, we present an approach that uses the principle component transform along with the selection of maximum pixel intensity to perform pixel level fusion. The entropy, mutual information and the universal index based measure are used to evaluate the performance of this fusion algorithm.

Keywords: Wavelet transformation, pixel level image fusion, PCA

Keywords

Statistical and non linear methods, Image Fusion, Surveillance and Navigation

Author Biographies

Senthil Kumar Sadhasivam, St.Joseph's College of Engineering, Chennai, India

Professor 

Dept of Electronics and Communication Engineering, St.Joseph's College of Engineering, Chennai, India

Mahesh Bharath Keerthivasan, The University of Arizona

Student 

Dept of Electrical and Computer Engineering, The University of Arizona, Tucson, United States

Muttan S, College of Engineering, Anna University, Chennai, India

Professor

Dept of Electronics and Communication Engineering, College of Engineering, Anna University, Chennai, India

DOI

https://doi.org/10.5565/rev/elcvia.353

Published

2011-07-20

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Copyright (c) 2011 Senthil Kumar Sadhasivam, Mahesh Bharath Keerthivasan, Muttan S

Creative Commons License

This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.