Objective no-reference stereoscopic image quality prediction based on 2d image features and relative disparity

Z. M.Parvez Sazzad, Roushain Akhter, J. Baltes, Y. Horita

研究成果: 雜誌貢獻文章同行評審

27 引文 斯高帕斯(Scopus)

摘要

Stereoscopic images are widely used to enhance the viewing experience of three-dimensional (3D) imaging and communication system. In this paper, we propose an image feature and disparity dependent quality evaluation metric, which incorporates human visible system characteristics. We believe perceived distortions and disparity of any stereoscopic image are strongly dependent on local features, such as edge (i.e., nonplane areas of an image) and nonedge (i.e., plane areas of an image) areas within the image. Therefore, a no-reference perceptual quality assessment method is developed for JPEG coded stereoscopic images based on segmented local features of distortions and disparity. Local feature information such as edge and non-edge area based relative disparity estimation, as well as the blockiness and the edge distortion within the block of images are evaluated in this method. Subjective stereo image database is used for evaluation of the metric. The subjective experiment results indicate that our metric has sufficient prediction performance.

原文英語
文章編號256130
期刊Advances in Multimedia
2012
DOIs
出版狀態已發佈 - 2012

ASJC Scopus subject areas

  • Computer Science(all)

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