No-reference perceptual sharpness assessment for ultra-high-definition images

Woojae Kim; Haksub Kim; Heeseok Oh; Jongyoo Kim; Sanghoon Lee

doi:10.1109/ICIP.2016.7532324

No-reference perceptual sharpness assessment for ultra-high-definition images

Woojae Kim, Haksub Kim, Heeseok Oh, Jongyoo Kim, Sanghoon Lee

Department of Electrical and Electronic Engineering

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

3 Citations (Scopus)

Abstract

Since ultra-high-definition (UHD) display has larger resolution and various display size, it is necessary to measure image sharpness considering variation in visual resolution caused by diverse viewing geometry. In this paper, we propose a no-reference perceptual sharpness assessment model of UHD images. The proposed model analyzes viewing geometry in terms of display resolution and viewing environment. Then, we measure the local adaptive sharpness score in accordance with the textural motion blur, texture, and edge. In addition, we propose a spatial pooling method associated with foveal regions, which is caused by nonuniform distribution of the photoreceptors on a human retina. Through the rigorous experiments, we demonstrate that the proposed model can measure the sharpness of UHD images more accurately than other image sharpness assessment methods.

Original language	English
Title of host publication	2016 IEEE International Conference on Image Processing, ICIP 2016 - Proceedings
Publisher	IEEE Computer Society
Pages	86-90
Number of pages	5
ISBN (Electronic)	9781467399616
DOIs	https://doi.org/10.1109/ICIP.2016.7532324
Publication status	Published - 2016 Aug 3
Event	23rd IEEE International Conference on Image Processing, ICIP 2016 - Phoenix, United States Duration: 2016 Sept 25 → 2016 Sept 28

Publication series

Name	Proceedings - International Conference on Image Processing, ICIP
Volume	2016-August
ISSN (Print)	1522-4880

Other

Other	23rd IEEE International Conference on Image Processing, ICIP 2016
Country/Territory	United States
City	Phoenix
Period	16/9/25 → 16/9/28

Bibliographical note

Publisher Copyright:
© 2016 IEEE.

All Science Journal Classification (ASJC) codes

Software
Computer Vision and Pattern Recognition
Signal Processing

Access to Document

10.1109/ICIP.2016.7532324

Cite this

Kim, W., Kim, H., Oh, H., Kim, J., & Lee, S. (2016). No-reference perceptual sharpness assessment for ultra-high-definition images. In 2016 IEEE International Conference on Image Processing, ICIP 2016 - Proceedings (pp. 86-90). [7532324] (Proceedings - International Conference on Image Processing, ICIP; Vol. 2016-August). IEEE Computer Society. https://doi.org/10.1109/ICIP.2016.7532324

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abstract = "Since ultra-high-definition (UHD) display has larger resolution and various display size, it is necessary to measure image sharpness considering variation in visual resolution caused by diverse viewing geometry. In this paper, we propose a no-reference perceptual sharpness assessment model of UHD images. The proposed model analyzes viewing geometry in terms of display resolution and viewing environment. Then, we measure the local adaptive sharpness score in accordance with the textural motion blur, texture, and edge. In addition, we propose a spatial pooling method associated with foveal regions, which is caused by nonuniform distribution of the photoreceptors on a human retina. Through the rigorous experiments, we demonstrate that the proposed model can measure the sharpness of UHD images more accurately than other image sharpness assessment methods.",

author = "Woojae Kim and Haksub Kim and Heeseok Oh and Jongyoo Kim and Sanghoon Lee",

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Kim, W, Kim, H, Oh, H, Kim, J & Lee, S 2016, No-reference perceptual sharpness assessment for ultra-high-definition images. in 2016 IEEE International Conference on Image Processing, ICIP 2016 - Proceedings., 7532324, Proceedings - International Conference on Image Processing, ICIP, vol. 2016-August, IEEE Computer Society, pp. 86-90, 23rd IEEE International Conference on Image Processing, ICIP 2016, Phoenix, United States, 16/9/25. https://doi.org/10.1109/ICIP.2016.7532324

No-reference perceptual sharpness assessment for ultra-high-definition images. / Kim, Woojae; Kim, Haksub; Oh, Heeseok et al.
2016 IEEE International Conference on Image Processing, ICIP 2016 - Proceedings. IEEE Computer Society, 2016. p. 86-90 7532324 (Proceedings - International Conference on Image Processing, ICIP; Vol. 2016-August).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

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No-reference perceptual sharpness assessment for ultra-high-definition images

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