Abstract
Conventionally, the quality of images and related codecs are assessed using subjective tests, such as Degradation Category Rating. These quality assessments consider the behavioral level only. Recently, it has been proposed to complement this approach by investigating how quality is processed in the brain of a user (using electroencephalography, EEG), potentially leading to results that are less biased by subjective factors. In this paper, a novel method is presented for assessing how image quality is processed on a neural level, using Steady-State Visual Evoked Potentials (SSVEPs) as EEG features. We tested our approach in an EEG study with 16 participants who were presented with distorted images of natural textures. Subsequently, we compared our approach analogously to the standardized Degradation Category Rating quality assessment. Remarkably, our novel method yields a correlation of r = 0.93 to MOS on the recorded dataset.
Original language | English |
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Title of host publication | 2014 IEEE International Conference on Image Processing, ICIP 2014 |
Publisher | Institute of Electrical and Electronics Engineers Inc. |
Pages | 1987-1991 |
Number of pages | 5 |
ISBN (Print) | 9781479957514 |
DOIs | |
Publication status | Published - 2015 Jan 28 |
Externally published | Yes |
Event | 2014 IEEE International Conference on Image Processing, ICIP 2014 - Paris, France Duration: 2014 Oct 27 → 2014 Oct 30 |
Other
Other | 2014 IEEE International Conference on Image Processing, ICIP 2014 |
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Country/Territory | France |
City | Paris |
Period | 14/10/27 → 14/10/30 |
Keywords
- EEG
- image coding
- Image quality
- perception electroencephalography
ASJC Scopus subject areas
- Computer Vision and Pattern Recognition