Neurophysiological assessment of perceived image quality using steady-state visual evoked potentials

Sebastian Bosse, Laura Acqualagna, Anne K. Porbadnigk, Gabriel Curio, Klaus Muller, Benjamin Blankertz, Thomas Wiegand

Research output: Chapter in Book/Report/Conference proceedingConference contribution

11 Citations (Scopus)

Abstract

An approach to the neural measurement of perceived image quality using electroencephalography (EEG) is presented. 6 different images were tested on 6 different distortion levels. The distortions were introduced by a hybrid video encoder. The presented study consists of two parts: In a first part, subjects were asked to evaluate the quality of the test stimuli behaviorally during a conventional psychophysical test using a degradation category rating procedure. In a second part, subjects were presented undistorted and distorted texture images in a periodically alternating fashion at a fixed frequency. This alternating presentation elicits so called steady-state visual evoked potentials (SSVEP) as a brain response that can be measured on the scalp. The amplitude of modulations in the brain signals is significantly and strongly negatively correlated with the magnitude of visual impairment reported by the subjects. This neurophysiological approach to image quality assessment may potentially lead to a more objective evaluation, as behavioral approaches suffer from drawbacks such as biases, inter-subject variances and limitations to test duration.

Original languageEnglish
Title of host publicationProceedings of SPIE - The International Society for Optical Engineering
PublisherSPIE
Volume9599
ISBN (Print)9781628417654, 9781628417654
DOIs
Publication statusPublished - 2015
EventApplications of Digital Image Processing XXXVIII - San Diego, United States
Duration: 2015 Aug 102015 Aug 13

Other

OtherApplications of Digital Image Processing XXXVIII
CountryUnited States
CitySan Diego
Period15/8/1015/8/13

Keywords

  • electroencephalography (EEG)
  • image coding
  • Image quality
  • neural correlates
  • perceptual quality
  • steady state visual evoked potentials (SSVEP)
  • video coding
  • visual perception

ASJC Scopus subject areas

  • Applied Mathematics
  • Computer Science Applications
  • Electrical and Electronic Engineering
  • Electronic, Optical and Magnetic Materials
  • Condensed Matter Physics

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  • Cite this

    Bosse, S., Acqualagna, L., Porbadnigk, A. K., Curio, G., Muller, K., Blankertz, B., & Wiegand, T. (2015). Neurophysiological assessment of perceived image quality using steady-state visual evoked potentials. In Proceedings of SPIE - The International Society for Optical Engineering (Vol. 9599). [959914] SPIE. https://doi.org/10.1117/12.2193684