A perceptual quality metric for image fusion based on regional information

Hao Chen; Pramod K. Varshney

doi:10.1117/12.605784

28 March 2005 A perceptual quality metric for image fusion based on regional information

Hao Chen, Pramod K. Varshney

Proceedings Volume 5813, Multisensor, Multisource Information Fusion: Architectures, Algorithms, and Applications 2005; (2005) https://doi.org/10.1117/12.605784
Event: Defense and Security, 2005, Orlando, Florida, United States

Abstract

Comparative evaluation of fused images is a critical step to evaluate the relative performance of different image fusion algorithms. Human visual inspection is often used to assess the quality of fused images. In this paper, we propose some variants of a new image quality metric based on the human vision system (HVS). The proposed measures evaluate the quality of a fused image by comparing its visual differences with the source images and require no knowledge of the ground truth. First, the images are transformed to the frequency domain. Second, the difference between the images in frequency domain is weighted with a human contrast sensitivity function (CSF). Finally, the quality of a fused image is obtained by computing the MSE of the weighted difference images obtained from the fused image and source images. Our experimental results show that these metrics are consistent with perceptually obtained results.

Citation Download Citation

Hao Chen and Pramod K. Varshney "A perceptual quality metric for image fusion based on regional information", Proc. SPIE 5813, Multisensor, Multisource Information Fusion: Architectures, Algorithms, and Applications 2005, (28 March 2005); https://doi.org/10.1117/12.605784

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