Abstract
This paper presents a novel user-aided method for texture preserving shadow removal from single images which only requires simple user input. Compared with the state-of-the-art, our algorithm addresses limitations in uneven shadow boundary processing and umbra recovery. We first detect an initial shadow boundary by growing a user specified shadow outline on an illumination-sensitive image. Interval-variable intensity sampling is introduced to avoid artefacts raised from uneven boundaries. We extract the initial scale field by applying local group intensity spline fittings around the shadow boundary. Bad intensity samples are replaced by their nearest alternatives based on a log-normal probability distribution of fitting errors. Finally, we use a gradual colour transfer to correct post-processing artefacts such as gamma correction and lossy compression. 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 |
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Pages | 1-6 |
Number of pages | 6 |
DOIs | |
Publication status | Published - 2013 |
Event | 2013 IEEE International Conference on Multimedia and Expo (ICME) - San Jose, California, USA United States Duration: 14 Jul 2013 → 18 Jul 2013 |
Conference
Conference | 2013 IEEE International Conference on Multimedia and Expo (ICME) |
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Country/Territory | USA United States |
City | San Jose, California |
Period | 14/07/13 → 18/07/13 |
Keywords
- arrays
- estimation
- image color analysis
- image segmentation
- lighting
- optimization
- splines (mathematics)
- shadow removal
- single image
- user-aided
ASJC Scopus subject areas
- Computer Graphics and Computer-Aided Design
- Computer Vision and Pattern Recognition
- Signal Processing