DocumentCode :
3488838
Title :
Hardware-efficient virtual high dynamic range image reproduction
Author :
Ke, Wei-Ming ; Wang, Tsun-Hsien ; Chiu, Ching-Te
Author_Institution :
Dept. of Comput. Sci., Nat. Tsing Hua Univ., Hsinchu, Taiwan
fYear :
2009
fDate :
7-10 Nov. 2009
Firstpage :
2693
Lastpage :
2696
Abstract :
High dynamic range (HDR) images keep dynamic range of luminance from 105 to 108 and preserve more details than low dynamic range (LDR) images. Conventional acquisition of HDR images requires several images with different exposure settings of one scene, so multiple cameras or static scene are necessary. Besides, in order to transform HDR images onto normal LDR display, tone-mapping algorithms are required which need intensive computations. In this paper, we propose a hardware-efficient virtual HDR image synthesizer that includes virtual photography and local contrast enhancement. Only one LDR image is enough to generate HDR-like images, with fine details and uniformly-distributed intensity. A real-time hardware display system suitable for image or video contrast enhancement is also implemented. Under UMC90um technology, we can process video sequences with NTSC 720×480 resolution at 60 frames per second (FPS), running at 100MHz and consume 0.3mm2 silicon area.
Keywords :
image colour analysis; image enhancement; image resolution; image sequences; photography; HDR image synthesizer; LDR image; UMC90um technology; camera; hardware-efficient virtual high dynamic range image reproduction; image acquisition; image contrast enhancement; image exposure; image resolution; local contrast enhancement; normal LDR display; real-time hardware display system; static scene; tone-mapping algorithm; video contrast enhancement; video sequence; virtual photography; Cameras; Computer displays; Dynamic range; Hardware; Image generation; Layout; Photography; Real time systems; Synthesizers; Video sequences; High dynamic range (HDR); contrast enhancement; virtual photography;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Image Processing (ICIP), 2009 16th IEEE International Conference on
Conference_Location :
Cairo
ISSN :
1522-4880
Print_ISBN :
978-1-4244-5653-6
Electronic_ISBN :
1522-4880
Type :
conf
DOI :
10.1109/ICIP.2009.5414120
Filename :
5414120
Link To Document :
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