Highlight Removal from A Single Grayscale Image Using Attentive GAN
Highlight Removal from A Single Grayscale Image Using Attentive GAN
About this item
Full title
Author / Creator
Xu, Haitao , Li, Qiang and Chen, Jing
Publisher
Philadelphia: Taylor & Francis
Journal title
Language
English
Formats
Publication information
Publisher
Philadelphia: Taylor & Francis
Subjects
More information
Scope and Contents
Contents
The existence of specular highlights hinders high-level computer algorithms. In this paper, we propose a novel approach to remove specular highlights from a single grayscale image by regarding the problem as an image-to-image translation task between the highlight domain and the diffuse domain. We solve this problem by using the generative adversar...
Alternative Titles
Full title
Highlight Removal from A Single Grayscale Image Using Attentive GAN
Authors, Artists and Contributors
Author / Creator
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Primary Identifiers
Record Identifier
TN_cdi_crossref_primary_10_1080_08839514_2021_1988441
Permalink
https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_crossref_primary_10_1080_08839514_2021_1988441
Other Identifiers
ISSN
0883-9514
E-ISSN
1087-6545
DOI
10.1080/08839514.2021.1988441
