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Proceedings Paper

A perceptual quality metric for image fusion based on regional information
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Paper 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.

Paper Details

Date Published: 28 March 2005
PDF: 12 pages
Proc. SPIE 5813, Multisensor, Multisource Information Fusion: Architectures, Algorithms, and Applications 2005, (28 March 2005); doi: 10.1117/12.605784
Show Author Affiliations
Hao Chen, Syracuse Univ. (United States)
Pramod K. Varshney, Syracuse Univ. (United States)


Published in SPIE Proceedings Vol. 5813:
Multisensor, Multisource Information Fusion: Architectures, Algorithms, and Applications 2005
Belur V. Dasarathy, Editor(s)

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