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    Objective No-Reference Stereoscopic Image Quality Prediction Based on 2D Image Features and Relative Disparity

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    Date
    2012-7-19
    Author
    Sazzad, Z. M. Parvez
    Akhter, Roushain
    Baltes, J.
    Horita, Y.
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    Abstract
    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.
    URI
    http://dx.doi.org/10.1155/2012/256130
    http://hdl.handle.net/1993/30504
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    • Faculty of Science Scholarly Works [209]
    • University of Manitoba Scholarship [2023]

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