A perceptual quality metric for image fusion based on regional information

Research output: Contribution to journalConference Articlepeer-review

10 Scopus citations


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.

Original languageEnglish (US)
Article number04
Pages (from-to)34-45
Number of pages12
JournalProceedings of SPIE - The International Society for Optical Engineering
StatePublished - 2005
EventMultisensor, Multisource Information Fusion: Architecture, Algorithms, and Applications 2005 - Orlando, FL, United States
Duration: Mar 30 2005Mar 31 2005


  • Contrast sensitivity function (CSF)
  • Human vision system(HVS)
  • Image fusion
  • Image quality measure

ASJC Scopus subject areas

  • Electronic, Optical and Magnetic Materials
  • Condensed Matter Physics
  • Computer Science Applications
  • Applied Mathematics
  • Electrical and Electronic Engineering


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