New metric for stereo image quality assessment based on HVS

  • Authors:

  • Jiachen Yang;Chunping Hou;Ran Xu;Jianjun Lei

  • Affiliations:

  • School of Electronic Information Engineering, Tianjin University, Tianjin 300072, China;School of Electronic Information Engineering, Tianjin University, Tianjin 300072, China;School of Electronic Information Engineering, Tianjin University, Tianjin 300072, China;School of Electronic Information Engineering, Tianjin University, Tianjin 300072, China

  • Venue:
  • International Journal of Imaging Systems and Technology
  • Year:
  • 2010

Quantified Score

Hi-index 0.00

Visualization

Abstract

Stereo image is regarded as an important trend of image technology, and there is an increasing need to develop efficient measures for stereo image quality evaluation. By analyzing the main properties of human visual system that is related to stereo image, a new metric based on human visual systems (HVSs) for stereo image quality assessment is proposed in this article. This method assesses stereo images from the perspective of image quality and stereo sense. The experimental results are presented to show that the proposed metric provides results consistent with the subjective assessment and thus can be employed to reflect image quality and stereo sense. © 2010 Wiley Periodicals, Inc. Int J Imaging Syst Technol, 20, 301–307, 2010 © 2010 Wiley Periodicals, Inc.