Stereoscopic Image Quality Assessment by Analyzing Visual Hierarchical Structures and Binocular Effectsстатья
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Дата последнего поиска статьи во внешних источниках: 11 апреля 2019 г.
Аннотация:In the design of 3D image processing systems, stereoscopic image quality assessment (SIQA) plays an indispensable role as performance evaluator and supervisor, yet the study upon which remains immature due to the complexity of human visual system (HVS). In this paper, a novel SIQA method is proposed by extracting quality-aware image features according to properties of the hierarchical structure in HVS. Especially, the interests of primary and secondary visual cortex are taken into consideration, so that the image quality representation is constructed in a way both accurate and efficient. Moreover, influences caused by binocular effects including binocular rivalry and binocular visual discomfort are accounted to further improve the performance of the proposed method. The superiority of the proposed method is validated through experiments on public databases in comparison to state-of-the-art works in terms of accuracy
and robustness.