DocumentCode
597921
Title
GPU-accelerated local tone-mapping for high dynamic range images
Author
Qiyuan Tian ; Jiang Duan ; Guoping Qiu
Author_Institution
Dept. of Electr. Eng., Stanford Univ., Stanford, CA, USA
fYear
2012
fDate
Sept. 30 2012-Oct. 3 2012
Firstpage
377
Lastpage
380
Abstract
This paper presents a very fast local tone mapping method for displaying high dynamic range (HDR) images. Though local tone mapping operators produce better local contrast and details, they are usually slow. We have solved this problem by designing a highly parallel algorithm, which can be easily implemented on a Graphics Processing Unit (GPU) to harvest high computational efficiency. At the same time, the proposed method mimics the local adaption mechanism of the human visual system and thus gives good results for a wide variety of images.
Keywords
graphics processing units; image processing; GPU-accelerated local tone-mapping; HDR images; graphics processing unit; high computational efficiency; high dynamic range images; highly parallel algorithm; human visual system; local adaption mechanism; very fast local tone mapping method; Decision support systems; CUDA; GPU; Local tone mapping; high dynamic range; parallel computation;
fLanguage
English
Publisher
ieee
Conference_Titel
Image Processing (ICIP), 2012 19th IEEE International Conference on
Conference_Location
Orlando, FL
ISSN
1522-4880
Print_ISBN
978-1-4673-2534-9
Electronic_ISBN
1522-4880
Type
conf
DOI
10.1109/ICIP.2012.6466874
Filename
6466874
Link To Document