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 language | English |
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Title of host publication | Applications of Digital Image Processing XXXVIII |
Editors | Andrew G. Tescher, Andrew G. Tescher |
Publisher | SPIE |
ISBN (Electronic) | 9781628417654, 9781628417654 |
DOIs | |
Publication status | Published - 2015 |
Event | Applications of Digital Image Processing XXXVIII - San Diego, United States Duration: 2015 Aug 10 → 2015 Aug 13 |
Publication series
Name | Proceedings of SPIE - The International Society for Optical Engineering |
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Volume | 9599 |
ISSN (Print) | 0277-786X |
ISSN (Electronic) | 1996-756X |
Other
Other | Applications of Digital Image Processing XXXVIII |
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Country/Territory | United States |
City | San Diego |
Period | 15/8/10 → 15/8/13 |
Bibliographical note
Publisher Copyright:© 2015 SPIE.
Keywords
- Image quality
- electroencephalography (EEG)
- image coding
- neural correlates
- perceptual quality
- steady state visual evoked potentials (SSVEP)
- video coding
- visual perception
ASJC Scopus subject areas
- Electronic, Optical and Magnetic Materials
- Condensed Matter Physics
- Applied Mathematics
- Electrical and Electronic Engineering
- Computer Science Applications