Assessment of color video quality based on quaternion singular value decomposition

  • Authors:
  • Fuqiang Zhang;Junli Li;Gang Chen;Jiaju Man

  • Affiliations:
  • The College of Information Science & Engineering, Ningbo University, Ningbo, China;The College of Information Science & Engineering, Ningbo University, Ningbo, China;The College of Information Science & Engineering, Ningbo University, Ningbo, China;Hunan Normal University, Changsha, China

  • Venue:
  • FSKD'09 Proceedings of the 6th international conference on Fuzzy systems and knowledge discovery - Volume 4
  • Year:
  • 2009

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Abstract

Measurement of visual quality is of fundamental importance for numerous video processing applications. In this paper, we proposed a full-reference color video quality assessment based on quaternion singular value decomposition(QSVD), which takes into account the luminance, chrominance and gradient information of each pixel and treats them as a whole. The algorithm is tested on the video quality experts group (VQEG) Phase I FR-TV test data set. Experiments show that it has good correlation with perceived video quality.