Please use this identifier to cite or link to this item: https://hdl.handle.net/10356/140486
Title: Survey of visual just noticeable difference estimation
Authors: Wu, Jinjian
Shi, Guangming
Lin, Weisi
Keywords: Engineering::Computer science and engineering
Issue Date: 2019
Source: 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
Journal: Frontiers of Computer Science
Abstract: 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.
URI: https://hdl.handle.net/10356/140486
ISSN: 2095-2228
DOI: 10.1007/s11704-016-6213-z
Rights: © 2018 Higher Education Press and Springer-Verlag GmbH Germany, part of Springer Nature. All rights reserved.
Fulltext Permission: none
Fulltext Availability: No Fulltext
Appears in Collections:SCSE Journal Articles

PublonsTM
Citations 50

1
Updated on Mar 6, 2021

Page view(s)

26
Updated on May 7, 2021

Google ScholarTM

Check

Altmetric


Plumx

Items in DR-NTU are protected by copyright, with all rights reserved, unless otherwise indicated.