Human visual system consistent quality assessment for remote sensing image fusion

Jun Liu, Junyi Huang, Shuguang Liu*, Huali Li, Qiming Zhou, Junchen Liu

*Corresponding author for this work

Research output: Contribution to journalJournal articlepeer-review

36 Citations (Scopus)


Quality assessment for image fusion is essential for remote sensing application. Generally used indices require a high spatial resolution multispectral (MS) image for reference, which is not always readily available. Meanwhile, the fusion quality assessments using these indices may not be consistent with the Human Visual System (HVS). As an attempt to overcome this requirement and inconsistency, this paper proposes an HVS-consistent image fusion quality assessment index at the highest resolution without a reference MS image using Gaussian Scale Space (GSS) technology that could simulate the HVS. The spatial details and spectral information of original and fused images are first separated in GSS, and the qualities are evaluated using the proposed spatial and spectral quality index respectively. The overall quality is determined without a reference MS image by a combination of the proposed two indices. Experimental results on various remote sensing images indicate that the proposed index is more consistent with HVS evaluation compared with other widely used indices that may or may not require reference images.

Original languageEnglish
Pages (from-to)79-90
Number of pages12
JournalISPRS Journal of Photogrammetry and Remote Sensing
Publication statusPublished - Jul 2015

Scopus Subject Areas

  • Atomic and Molecular Physics, and Optics
  • Engineering (miscellaneous)
  • Computer Science Applications
  • Computers in Earth Sciences

User-Defined Keywords

  • Gaussian scale space
  • Human visual system
  • Image fusion
  • Quality assessment
  • Spatial quality index
  • Spectral quality index


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