Hardware-efficient virtual high dynamic range image reproduction

Authors:
Wei-Ming Ke;Tsun-Hsien Wang;Ching-Te Chiu
Affiliations:
Department of Computer Science, National Tsing Hua University, Taiwan;Department of Computer Science, National Tsing Hua University, Taiwan;Department of Computer Science, National Tsing Hua University, Taiwan
Venue:
ICIP'09 Proceedings of the 16th IEEE international conference on Image processing
Year:
2009

Citing 5
Cited 0

Recovering high dynamic range radiance maps from photographs

Proceedings of the 24th annual conference on Computer graphics and interactive techniques
Photographic tone reproduction for digital images

Proceedings of the 29th annual conference on Computer graphics and interactive techniques
Interactive time-dependent tone mapping using programmable graphics hardware

EGRW '03 Proceedings of the 14th Eurographics workshop on Rendering
A real-time FPGA-based architecture for a Reinhard-like tone mapping operator

Proceedings of the 22nd ACM SIGGRAPH/EUROGRAPHICS symposium on Graphics hardware
A perceptually tuned subband image coder based on the measure of just-noticeable-distortion profile

IEEE Transactions on Circuits and Systems for Video Technology

Quantified Score

Hi-index	0.01

Visualization

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 UMC90nm 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.