"Image fusion for improved perception" by Michel Ouendeno and Samuel Peter Kozaitis
 

Document Type

Conference Proceeding

Publication Title

Proceedings of SPIE - the International Society for Optical Engineering

Abstract

We developed a method to fuse imagery for from different sensor types. The core of our method uses different forward transforms of input images and a common transform to reconstruct the final result. When measuring the entropy and power of the fused result, we found that our method gave generally better results when compared to a more conventional approach. Our method could form the basis of a new image fusion approach because it offers results not possible with a conventional approach.

DOI

10.1117/12.666476

Publication Date

5-17-2006

Plum Print visual indicator of research metrics
PlumX Metrics
  • Usage
    • Downloads: 31
    • Abstract Views: 1
  • Captures
    • Readers: 1
see details

Share

COinS