NSCT And Eigen Features Based Image Fusion

Authors

  • S.B.G. Tilak Babu , R.VV Krishna , J Srinivasa Rao , P. Ramesh Kumar

Abstract

Image fusion is a technique of fusing multiple images for obtaining accurate image
with better information compared to source images. The applications of image fusion are in
the modern military, multi-focus image integration, pattern recognition, remote sensing,
biomedical imaging etc. The specific benefits of Nonsubsampled Contourlet Transform
(NSCT) and Principal Component Analysis (PCA) are of huge benefit to the proposed image
fusion method. Standard datasets are being used to assess the performance of the proposed
model. The obtained results are visually more informative compared with individual images
and statistical performance when compared with existing methodologies exhibit robustness in
terms of MSE, PSNR, Entropy, Correlation, SSIM.

Published

2020-12-01

Issue

Section

Articles