User-Aided Single Image Shadow Removal

Han Gong; Darren Cosker; Chuan Li; Matthew Brown

doi:10.1109/ICME.2013.6607463

User-Aided Single Image Shadow Removal

Han Gong, Darren Cosker, Chuan Li, Matthew Brown

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

12 Citations (Scopus)

Abstract

We present a novel user-aided method for texture-preserving shadow removal from single images which only requires simple user input. Users are required to specify a region that contains the main colour characteristics of shadow, e.g., the area enclosed by the red stroke in the above picture. Compared with the state-of-the-art, our algorithm addresses limitations in uneven shadow boundary processing and umbra recovery. Compared with state-of-the-art methods, we offer highly user-friendly interaction, produce improved umbra recovery and improved processing given uneven shadow boundaries.

Original language	English
Title of host publication	2013 IEEE International Conference on Multimedia and Expo (ICME)
Pages	1-6
Number of pages	6
DOIs	https://doi.org/10.1109/ICME.2013.6607463
Publication status	Published - 2013

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10.1109/ICME.2013.6607463

User-assisted image shadow removal
Gong, H. & Cosker, D., Jun 2017, In: Image and Vision Computing. 62, p. 19–27 9 p.
Research output: Contribution to journal › Article › peer-review

Open Access
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23 Citations (Scopus)

23 Downloads (Pure)

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title = "User-Aided Single Image Shadow Removal",

abstract = " We present a novel user-aided method for texture-preserving shadow removal from single images which only requires simple user input. Users are required to specify a region that contains the main colour characteristics of shadow, e.g., the area enclosed by the red stroke in the above picture. Compared with the state-of-the-art, our algorithm addresses limitations in uneven shadow boundary processing and umbra recovery. Compared with state-of-the-art methods, we offer highly user-friendly interaction, produce improved umbra recovery and improved processing given uneven shadow boundaries. ",

author = "Han Gong and Darren Cosker and Chuan Li and Matthew Brown",

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AB - We present a novel user-aided method for texture-preserving shadow removal from single images which only requires simple user input. Users are required to specify a region that contains the main colour characteristics of shadow, e.g., the area enclosed by the red stroke in the above picture. Compared with the state-of-the-art, our algorithm addresses limitations in uneven shadow boundary processing and umbra recovery. Compared with state-of-the-art methods, we offer highly user-friendly interaction, produce improved umbra recovery and improved processing given uneven shadow boundaries.

U2 - 10.1109/ICME.2013.6607463

DO - 10.1109/ICME.2013.6607463

M3 - Conference contribution

SP - 1

EP - 6

BT - 2013 IEEE International Conference on Multimedia and Expo (ICME)

ER -

User-Aided Single Image Shadow Removal

Abstract

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Research output

User-assisted image shadow removal

Cite this