Visual Preference Prediction for Enhanced Images on Ultra-High-Definition Display

Sewoong Ahn, Woojae Kim, Jinwoo Kim, Jaekyung Kim, Sanghoon Lee

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

Abstract

Due to the evolution of ultra-high-definition (UHD) technologies, viewers can enjoy more realistic contents. Furthermore, in order to maximize visual attraction, post-processing is conducted in commercial devices. In this paper, we propose a new terminology called visual preference to quantify viewer's preferences for sharpness- and contrast- enhanced UHD images in a particular viewing geometry. Visual preferences depend on the spatial characteristics and are affected by the viewing geometry of display like resolution, display size, and viewing distance. Therefore, we propose a method called visual preference assessment model that accounts for content enhancement features and diverse viewing geometry. By rigorous experiments, our proposed model outperforms other state-of-the-art models.

Original languageEnglish
Title of host publication2018 IEEE International Conference on Image Processing, ICIP 2018 - Proceedings
PublisherIEEE Computer Society
Pages3548-3552
Number of pages5
ISBN (Electronic)9781479970612
DOIs
Publication statusPublished - 2018 Aug 29
Event25th IEEE International Conference on Image Processing, ICIP 2018 - Athens, Greece
Duration: 2018 Oct 72018 Oct 10

Publication series

NameProceedings - International Conference on Image Processing, ICIP
ISSN (Print)1522-4880

Conference

Conference25th IEEE International Conference on Image Processing, ICIP 2018
CountryGreece
CityAthens
Period18/10/718/10/10

Fingerprint

Display devices
Geometry
Terminology
Processing
Experiments

All Science Journal Classification (ASJC) codes

  • Software
  • Computer Vision and Pattern Recognition
  • Signal Processing

Cite this

Ahn, S., Kim, W., Kim, J., Kim, J., & Lee, S. (2018). Visual Preference Prediction for Enhanced Images on Ultra-High-Definition Display. In 2018 IEEE International Conference on Image Processing, ICIP 2018 - Proceedings (pp. 3548-3552). [8451330] (Proceedings - International Conference on Image Processing, ICIP). IEEE Computer Society. https://doi.org/10.1109/ICIP.2018.8451330
Ahn, Sewoong ; Kim, Woojae ; Kim, Jinwoo ; Kim, Jaekyung ; Lee, Sanghoon. / Visual Preference Prediction for Enhanced Images on Ultra-High-Definition Display. 2018 IEEE International Conference on Image Processing, ICIP 2018 - Proceedings. IEEE Computer Society, 2018. pp. 3548-3552 (Proceedings - International Conference on Image Processing, ICIP).
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Ahn, S, Kim, W, Kim, J, Kim, J & Lee, S 2018, Visual Preference Prediction for Enhanced Images on Ultra-High-Definition Display. in 2018 IEEE International Conference on Image Processing, ICIP 2018 - Proceedings., 8451330, Proceedings - International Conference on Image Processing, ICIP, IEEE Computer Society, pp. 3548-3552, 25th IEEE International Conference on Image Processing, ICIP 2018, Athens, Greece, 18/10/7. https://doi.org/10.1109/ICIP.2018.8451330

Visual Preference Prediction for Enhanced Images on Ultra-High-Definition Display. / Ahn, Sewoong; Kim, Woojae; Kim, Jinwoo; Kim, Jaekyung; Lee, Sanghoon.

2018 IEEE International Conference on Image Processing, ICIP 2018 - Proceedings. IEEE Computer Society, 2018. p. 3548-3552 8451330 (Proceedings - International Conference on Image Processing, ICIP).

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

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Ahn S, Kim W, Kim J, Kim J, Lee S. Visual Preference Prediction for Enhanced Images on Ultra-High-Definition Display. In 2018 IEEE International Conference on Image Processing, ICIP 2018 - Proceedings. IEEE Computer Society. 2018. p. 3548-3552. 8451330. (Proceedings - International Conference on Image Processing, ICIP). https://doi.org/10.1109/ICIP.2018.8451330