DocumentCode
3238771
Title
High dynamic range tone mapping based on Per-Pixel Exposure Mapping
Author
Huang, Jie ; Rampersad, Valmiki ; Mann, Sebastian
Author_Institution
Dept. of Electr. & Comput. Eng., Univ. of Toronto, Toronto, ON, Canada
fYear
2013
fDate
27-29 June 2013
Firstpage
98
Lastpage
106
Abstract
The needs of a realtime vision aid require that it functions immediately, not merely for production of a picture or video record to be viewed later. Therefore the vision system must offer a high dynamic range (often hundreds of millions to one) that functions in real time. In compliment with the existing efficient and real-time HDR compositing algorithms, we propose a novel method for compressing High Dynamic Range (HDR) images by Per-Pixel Exposure Mapping (PPEM). Unlike any existing methods, PPEM only varies exposure to achieve tone mapping. It takes advantage of the camera response to enable exposure synthesis which we call Wyckoff set expansion. The method evaluates the synthetic exposures in a recursive pairwise process to generate a tone mapped HDR image. The results can be approximated using a look-up table, which can be used for real-time HDR applications.
Keywords
real-time systems; video recording; video signal processing; HDR compositing algorithms; HDR images; PPEM; high dynamic range images; high dynamic range tone mapping; per-pixel exposure mapping; real-time vision aid; video recording; Cameras; Clamps; Dynamic range; Noise; Real-time systems; Surveillance; Uncertainty;
fLanguage
English
Publisher
ieee
Conference_Titel
Technology and Society (ISTAS), 2013 IEEE International Symposium on
Conference_Location
Toronto, ON
ISSN
2158-3404
Print_ISBN
978-1-4799-1242-1
Type
conf
DOI
10.1109/ISTAS.2013.6613107
Filename
6613107
Link To Document