Big little icons
Research output: Contribution to journal › Conference article › Research › peer-review
Computer icons are small artificial images designed to be perceived with minimal ambiguity by the human visual system. In order to make them easier to perceive by visually impaired people, we propose a solution to the superresolution problem for color bitmap icons in a manner that exploits the unique characteristics of this medium versus that of generic low resolution natural imagery. We propose an MRF-based solution that incorporates local models of luminance and color perception which lays the basis for a snake-based vectorization of the icon and demonstrates encouraging performance on a diverse set of icons.
Original language | English |
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Journal | IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops |
ISSN | 2160-7508 |
DOIs | |
Publication status | Published - 2005 |
Externally published | Yes |
Event | 2005 IEEE Computer Society Conference on Computer Vision and Pattern Recognition, CVPR 2005 - Workshops - San Diego, United States Duration: 21 Sep 2005 → 23 Sep 2005 |
Conference
Conference | 2005 IEEE Computer Society Conference on Computer Vision and Pattern Recognition, CVPR 2005 - Workshops |
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Country | United States |
City | San Diego |
Period | 21/09/2005 → 23/09/2005 |
Bibliographical note
Funding Information:
This work was funded by the UCSD division of Calit2, the California Institute for Telecommunications and Information Technology, NSF-CAREER #0448615, DOE/LLNL contract no. W-7405-ENG-48 (subcontracts B542001 and B547328), and the Alfred P. Sloan Fellowship. The authors would also like to thank S. Agarwal, K. Branson, S. Das-gupta and A. Rabinovich for helpful discussions.
Publisher Copyright:
© 2005 IEEE Computer Society. All rights reserved.
ID: 302054379