A database of high dynamic range visible and near-infrared multispectral images

Manu Parmar; Francisco Imai; Sung Ho Park; Joyce Farrell

doi:10.1117/12.767830

3 March 2008 A database of high dynamic range visible and near-infrared multispectral images

Manu Parmar, Francisco Imai, Sung Ho Park, Joyce Farrell

Proceedings Volume 6817, Digital Photography IV; 68170N (2008) https://doi.org/10.1117/12.767830
Event: Electronic Imaging, 2008, San Jose, California, United States

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.

Citation Download Citation

Manu Parmar, Francisco Imai, Sung Ho Park, and Joyce Farrell "A database of high dynamic range visible and near-infrared multispectral images", Proc. SPIE 6817, Digital Photography IV, 68170N (3 March 2008); https://doi.org/10.1117/12.767830

ACCESS THE FULL ARTICLE

INSTITUTIONAL
Select your institution to access the SPIE Digital Library.

SELECT YOUR INSTITUTION

PERSONAL
Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.

PERSONAL SIGN IN

No SPIE Account? Create one

PURCHASE THIS CONTENT

SUBSCRIBE TO DIGITAL LIBRARY

50 downloads per 1-year subscription

Members: $195

Non-members: $335 ADD TO CART

25 downloads per 1 - year subscription

Members: $145

Non-members: $250 ADD TO CART

PURCHASE SINGLE ARTICLE

Includes PDF, HTML & Video, when available