Adaptive Total Variation Minimization-Based Image Enhancement from Flash and No-Flash Pairs
Joint Authors
Yoon, Sang Min
Lee, Yeon Ju
Yoon, Gang-Joon
Yoon, Jungho
Source
Issue
Vol. 2014, Issue 2014 (31 Dec. 2014), pp.1-5, 5 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2014-03-04
Country of Publication
Egypt
No. of Pages
5
Main Subjects
Medicine
Information Technology and Computer Science
Abstract EN
We present a novel approach for enhancing the quality of an image captured from a pair of flash and no-flash images.
The main idea for image enhancement is to generate a new image by combining the ambient light of the no-flash image and the details of the flash image.
In this approach, we propose a method based on Adaptive Total Variation Minimization (ATVM) so that it has an efficient image denoising effect by preserving strong gradients of the flash image.
Some numerical results are presented to demonstrate the effectiveness of the proposed scheme.
American Psychological Association (APA)
Yoon, Sang Min& Lee, Yeon Ju& Yoon, Gang-Joon& Yoon, Jungho. 2014. Adaptive Total Variation Minimization-Based Image Enhancement from Flash and No-Flash Pairs. The Scientific World Journal،Vol. 2014, no. 2014, pp.1-5.
https://search.emarefa.net/detail/BIM-1049208
Modern Language Association (MLA)
Yoon, Sang Min…[et al.]. Adaptive Total Variation Minimization-Based Image Enhancement from Flash and No-Flash Pairs. The Scientific World Journal No. 2014 (2014), pp.1-5.
https://search.emarefa.net/detail/BIM-1049208
American Medical Association (AMA)
Yoon, Sang Min& Lee, Yeon Ju& Yoon, Gang-Joon& Yoon, Jungho. Adaptive Total Variation Minimization-Based Image Enhancement from Flash and No-Flash Pairs. The Scientific World Journal. 2014. Vol. 2014, no. 2014, pp.1-5.
https://search.emarefa.net/detail/BIM-1049208
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1049208
