Document Type
Conference Paper
Publication Date
2011
Publication Title
Proceedings of the 2011 International Conference on Image Processing, Computer Vision, and Pattern Recognition, IPCV 2011, Volume 2
Pages
904-910
Conference Name
2011 International Conference on Image Processing, Computer Vision, and Pattern Recognition, July 18-21, 2011, Las Vegas, Nevada
Abstract
Recently, we proposed an enhancement technique for uniformly and non-uniformly illuminated dark images that provides high color accuracy and better balance between the luminance and the contrast in images to improve the visual representations of digital images. In this paper we define an improved version of the proposed algorithm to enhance aerial images in order to reduce the gap between direct observation of a scene and its recorded image.
Rights
© 2011 American Council on Science and Education. All rights reserved.
Included with the kind written permission of the editors.
Original Publication Citation
Erkanli, S., Pakfiliz, A. G., & Li, J. (2011) Enhancement technique for aerial images. In H. R. Arabnia, L. Deligiannidis, & Gerald Schaefer (Eds.), Proceedings of the 2011 International Conference on Image Processing, Computer Vision, and Pattern Recognition, IPCV 2011, Volume 2 (pp. 904-910). American Council on Science and Education. http://worldcomp-proceedings.com/proc/p2011/IPC3781.pdf
Repository Citation
Erkanli, Sertan; Pakfiliz, Ahmet Gungor; and Li, Jiang, "Enhancement Technique for Aerial Images" (2011). Electrical & Computer Engineering Faculty Publications. 406.
https://digitalcommons.odu.edu/ece_fac_pubs/406
ORCID
0000-0003-0091-6986 (Li)
Included in
Graphics and Human Computer Interfaces Commons, Systems Engineering and Multidisciplinary Design Optimization Commons, Theory and Algorithms Commons
Comments
Landing page for conference available at: http://worldcomp-proceedings.com/proc/p2011/IPC.htm
Part of the Proceedings of the 2011 World Congress in Computer Science, Computer Engineering, and Applied Computing.