Neurally informed assessment of perceived natural texture image quality

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

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

13 Citations (Scopus)

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 languageEnglish
Title of host publication2014 IEEE International Conference on Image Processing, ICIP 2014
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages1987-1991
Number of pages5
ISBN (Print)9781479957514
DOIs
Publication statusPublished - 2015 Jan 28
Externally publishedYes
Event2014 IEEE International Conference on Image Processing, ICIP 2014 - Paris, France
Duration: 2014 Oct 272014 Oct 30

Other

Other2014 IEEE International Conference on Image Processing, ICIP 2014
CountryFrance
CityParis
Period14/10/2714/10/30

Fingerprint

Electroencephalography
Image quality
Textures
Degradation
Bioelectric potentials
Brain

Keywords

  • EEG
  • image coding
  • Image quality
  • perception electroencephalography

ASJC Scopus subject areas

  • Computer Vision and Pattern Recognition

Cite this

Bosse, S., Acqualagna, L., Porbadnigk, A. K., Blankertz, B., Curio, G., Muller, K., & Wiegand, T. (2015). Neurally informed assessment of perceived natural texture image quality. In 2014 IEEE International Conference on Image Processing, ICIP 2014 (pp. 1987-1991). [7025398] Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/ICIP.2014.7025398

Neurally informed assessment of perceived natural texture image quality. / Bosse, Sebastian; Acqualagna, Laura; Porbadnigk, Anne K.; Blankertz, Benjamin; Curio, Gabriel; Muller, Klaus; Wiegand, Thomas.

2014 IEEE International Conference on Image Processing, ICIP 2014. Institute of Electrical and Electronics Engineers Inc., 2015. p. 1987-1991 7025398.

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

Bosse, S, Acqualagna, L, Porbadnigk, AK, Blankertz, B, Curio, G, Muller, K & Wiegand, T 2015, Neurally informed assessment of perceived natural texture image quality. in 2014 IEEE International Conference on Image Processing, ICIP 2014., 7025398, Institute of Electrical and Electronics Engineers Inc., pp. 1987-1991, 2014 IEEE International Conference on Image Processing, ICIP 2014, Paris, France, 14/10/27. https://doi.org/10.1109/ICIP.2014.7025398
Bosse S, Acqualagna L, Porbadnigk AK, Blankertz B, Curio G, Muller K et al. Neurally informed assessment of perceived natural texture image quality. In 2014 IEEE International Conference on Image Processing, ICIP 2014. Institute of Electrical and Electronics Engineers Inc. 2015. p. 1987-1991. 7025398 https://doi.org/10.1109/ICIP.2014.7025398
Bosse, Sebastian ; Acqualagna, Laura ; Porbadnigk, Anne K. ; Blankertz, Benjamin ; Curio, Gabriel ; Muller, Klaus ; Wiegand, Thomas. / Neurally informed assessment of perceived natural texture image quality. 2014 IEEE International Conference on Image Processing, ICIP 2014. Institute of Electrical and Electronics Engineers Inc., 2015. pp. 1987-1991
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