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
fDate :
Sept. 30 2012-Oct. 3 2012
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;
Conference_Titel :
Image Processing (ICIP), 2012 19th IEEE International Conference on
Conference_Location :
Orlando, FL
Print_ISBN :
978-1-4673-2534-9
Electronic_ISBN :
1522-4880
DOI :
10.1109/ICIP.2012.6466874