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Proceedings Paper

A database of high dynamic range visible and near-infrared multispectral images
Author(s): Manu Parmar; Francisco Imai; Sung Ho Park; Joyce Farrell
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Paper Abstract

Simulation of the imaging pipeline is an important tool for the design and evaluation of imaging systems. One of the most important requirements for an accurate simulation tool is the availability of high quality source scenes. The dynamic range of images depends on multiple elements in the imaging pipeline including the sensor, digital signal processor, display device, etc. High dynamic range (HDR) scene spectral information is critical for an accurate analysis of the effect of these elements on the dynamic range of the displayed image. Also, typical digital imaging sensors are sensitive well beyond the visible range of wavelengths. Spectral information with support across the sensitivity range of the imaging sensor is required for the analysis and design of imaging pipeline elements that are affected by IR energy. Although HDR scene data information with visible and infrared content are available from remote sensing resources, there are scarcity of such imagery representing more conventional everyday scenes. In this paper, we address both these issues and present a method to generate a database of HDR images that represent radiance fields in the visible and near-IR range of the spectrum. The proposed method only uses conventional consumer-grade equipment and is very cost-effective.

Paper Details

Date Published: 3 March 2008
PDF: 10 pages
Proc. SPIE 6817, Digital Photography IV, 68170N (3 March 2008); doi: 10.1117/12.767830
Show Author Affiliations
Manu Parmar, Stanford Univ. (United States)
Francisco Imai, Samsung Information Systems America (United States)
Sung Ho Park, Samsung Information Systems America (United States)
Joyce Farrell, Stanford Univ. (United States)

Published in SPIE Proceedings Vol. 6817:
Digital Photography IV
Jeffrey M. DiCarlo; Brian G. Rodricks, Editor(s)

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