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...
Main Authors: | , , |
---|---|
Other Authors: | |
Format: | Journal Article |
Language: | English |
Published: |
2020
|
Subjects: | |
Online Access: | https://hdl.handle.net/10356/140486 |
_version_ | 1826112274981453824 |
---|---|
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. |
first_indexed | 2024-10-01T03:04:18Z |
format | Journal Article |
id | ntu-10356/140486 |
institution | Nanyang Technological University |
language | English |
last_indexed | 2024-10-01T03:04:18Z |
publishDate | 2020 |
record_format | dspace |
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 |