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New metric for stereo image quality assessment based on HVS
Author(s) -
Yang Jiachen,
Hou Chunping,
Xu Ran,
Lei Jianjun
Publication year - 2010
Publication title -
international journal of imaging systems and technology
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.359
H-Index - 47
eISSN - 1098-1098
pISSN - 0899-9457
DOI - 10.1002/ima.20246
Subject(s) - artificial intelligence , stereo image , computer vision , computer stereo vision , metric (unit) , computer science , perspective (graphical) , image quality , stereo camera , human visual system model , image (mathematics) , stereo cameras , stereopsis , quality (philosophy) , stereo imaging , engineering , philosophy , operations management , epistemology
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