Monotonic correlation analysis of image quality measures for image fusion

Lance M. Kaplan; Stephen D. Burks; Richard K Moore; Quang Nguyen

doi:10.1117/12.776870

15 April 2008 Monotonic correlation analysis of image quality measures for image fusion

Lance M. Kaplan, Stephen D. Burks, Richard K Moore, Quang Nguyen

Proceedings Volume 6941, Infrared Imaging Systems: Design, Analysis, Modeling, and Testing XIX; 69410A (2008) https://doi.org/10.1117/12.776870
Event: SPIE Defense and Security Symposium, 2008, Orlando, Florida, United States

Abstract

The next generation of night vision goggles will fuse image intensified and long wave infra-red to create a hybrid image that will enable soldiers to better interpret their surroundings during nighttime missions. Paramount to the development of such goggles is the exploitation of image quality measures to automatically determine the best image fusion algorithm for a particular task. This work will introduce a novel monotonic correlation coefficient to investigate how well possible image quality features correlate to actual human performance, which is measured by a perception study. The paper will demonstrate how monotonic correlation can identify worthy features that could be overlooked by the traditional Pearson correlation.

Citation Download Citation

Lance M. Kaplan, Stephen D. Burks, Richard K Moore, and Quang Nguyen "Monotonic correlation analysis of image quality measures for image fusion", Proc. SPIE 6941, Infrared Imaging Systems: Design, Analysis, Modeling, and Testing XIX, 69410A (15 April 2008); https://doi.org/10.1117/12.776870

ACCESS THE FULL ARTICLE

INSTITUTIONAL
Select your institution to access the SPIE Digital Library.

SELECT YOUR INSTITUTION

PERSONAL
Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.

PERSONAL SIGN IN

No SPIE Account? Create one

PURCHASE THIS CONTENT

SUBSCRIBE TO DIGITAL LIBRARY

50 downloads per 1-year subscription

Members: $195

Non-members: $335 ADD TO CART

25 downloads per 1 - year subscription

Members: $145

Non-members: $250 ADD TO CART

PURCHASE SINGLE ARTICLE

Includes PDF, HTML & Video, when available