A contrast-based scalefactor for luminance display
Graphics gems IV
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
A Visibility Matching Tone Reproduction Operator for High Dynamic Range Scenes
IEEE Transactions on Visualization and Computer Graphics
Split Aperture Imaging for High Dynamic Range
International Journal of Computer Vision - Special Issue on Computer Vision Research at the Beckman Institute of Advanced Science and Technology
High performance imaging using large camera arrays
ACM SIGGRAPH 2005 Papers
Background modeling and object tracking using multi-spectral sensors
Proceedings of the 4th ACM international workshop on Video surveillance and sensor networks
Registration of IR and EO Video Sequences based on Frame Difference
CRV '07 Proceedings of the Fourth Canadian Conference on Computer and Robot Vision
Fusion of thermal infrared and visible spectrum video for robust surveillance
ICVGIP'06 Proceedings of the 5th Indian conference on Computer Vision, Graphics and Image Processing
Minimal-Bracketing Sets for High-Dynamic-Range Image Capture
IEEE Transactions on Image Processing
Parallel implementation of a real-time high dynamic range video system
Integrated Computer-Aided Engineering
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When the dynamic range of radiance values in a scene exceeds the capabilities of a camera, a single picture can only capture one brightness range of the scene faithfully at a time. We propose a system for creating high dynamic range (HDR) videos that overcomes this limitation. It acquires a number of images under varying exposure settings from dark to bright, each containing new scene radiance information. The camera motion between the images is compensated and they are fused into a single HDR frame. For visualization on regular displays, the video frame is tone mapped to the output range of the display. We introduce algorithms for reduced redundancy acquisition, efficient registration and visualization of HDR video that are fast enough to be used in real-time.