Neural evidence for image quality perception based on algebraic topology.
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ABSTRACT: In this paper, the algebraic topological characteristics of brain networks composed of electroencephalogram(EEG) signals induced by different quality images were studied, and on that basis, a neurophysiological image quality assessment approach was proposed. Our approach acquired quality perception-related neural information via integrating the EEG collection with conventional image assessment procedures, and the physiologically meaningful brain responses to different distortion-level images were obtained by topological data analysis. According to the validation experiment results, statistically significant discrepancies of the algebraic topological characteristics of EEG data evoked by a clear image compared to that of an unclear image are observed in several frequency bands, especially i
SUBMITTER: Liu C
PROVIDER: S-EPMC8675722 | biostudies-literature | 2021
REPOSITORIES: biostudies-literature
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