Survey of visual just noticeable difference estimation

The concept of just noticeable difference (JND), which accounts for the visibility threshold (visual redundancy) of the human visual system, is useful in perception-oriented signal processing systems. In this work, we present a comprehensive review of JND estimation technology. First, the visual mec...

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Bibliographic Details
Main Authors: Wu, Jinjian, Shi, Guangming, Lin, Weisi
Other Authors: School of Computer Science and Engineering
Format: Journal Article
Language:English
Published: 2020
Subjects:
Online Access:https://hdl.handle.net/10356/140486
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author Wu, Jinjian
Shi, Guangming
Lin, Weisi
author2 School of Computer Science and Engineering
author_facet School of Computer Science and Engineering
Wu, Jinjian
Shi, Guangming
Lin, Weisi
author_sort Wu, Jinjian
collection NTU
description The concept of just noticeable difference (JND), which accounts for the visibility threshold (visual redundancy) of the human visual system, is useful in perception-oriented signal processing systems. In this work, we present a comprehensive review of JND estimation technology. First, the visual mechanism and its corresponding computational modules are illustrated. These include luminance adaptation, contrast masking, pattern masking, and the contrast sensitivity function. Next, the existing pixel domain and subband domain JND models are presented and analyzed. Finally, the challenges associated with JND estimation are discussed.
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spelling ntu-10356/1404862020-05-29T08:13:03Z Survey of visual just noticeable difference estimation Wu, Jinjian Shi, Guangming Lin, Weisi School of Computer Science and Engineering Engineering::Computer science and engineering Just Noticeable Difference Human Visual System The concept of just noticeable difference (JND), which accounts for the visibility threshold (visual redundancy) of the human visual system, is useful in perception-oriented signal processing systems. In this work, we present a comprehensive review of JND estimation technology. First, the visual mechanism and its corresponding computational modules are illustrated. These include luminance adaptation, contrast masking, pattern masking, and the contrast sensitivity function. Next, the existing pixel domain and subband domain JND models are presented and analyzed. Finally, the challenges associated with JND estimation are discussed. 2020-05-29T08:13:03Z 2020-05-29T08:13:03Z 2019 Journal Article Wu, J., Shi, G., & Lin, W. (2019). Survey of visual just noticeable difference estimation. Frontiers of Computer Science, 13(1), 4-15. doi:10.1007/s11704-016-6213-z 2095-2228 https://hdl.handle.net/10356/140486 10.1007/s11704-016-6213-z 2-s2.0-85040241883 1 13 4 15 en Frontiers of Computer Science © 2018 Higher Education Press and Springer-Verlag GmbH Germany, part of Springer Nature. All rights reserved.
spellingShingle Engineering::Computer science and engineering
Just Noticeable Difference
Human Visual System
Wu, Jinjian
Shi, Guangming
Lin, Weisi
Survey of visual just noticeable difference estimation
title Survey of visual just noticeable difference estimation
title_full Survey of visual just noticeable difference estimation
title_fullStr Survey of visual just noticeable difference estimation
title_full_unstemmed Survey of visual just noticeable difference estimation
title_short Survey of visual just noticeable difference estimation
title_sort survey of visual just noticeable difference estimation
topic Engineering::Computer science and engineering
Just Noticeable Difference
Human Visual System
url https://hdl.handle.net/10356/140486
work_keys_str_mv AT wujinjian surveyofvisualjustnoticeabledifferenceestimation
AT shiguangming surveyofvisualjustnoticeabledifferenceestimation
AT linweisi surveyofvisualjustnoticeabledifferenceestimation