Loading [a11y]/accessibility-menu.js
A Kalman-Filtering Approach to High Dynamic Range Imaging for Measurement Applications | IEEE Journals & Magazine | IEEE Xplore

A Kalman-Filtering Approach to High Dynamic Range Imaging for Measurement Applications


Abstract:

High dynamic range imaging (HDRI) methods in computational photography address situations where the dynamic range of a scene exceeds what can be captured by an image sens...Show More

Abstract:

High dynamic range imaging (HDRI) methods in computational photography address situations where the dynamic range of a scene exceeds what can be captured by an image sensor in a single exposure. HDRI techniques have also been used to construct radiance maps in measurement applications; unfortunately, the design and evaluation of HDRI algorithms for use in these applications have received little attention. In this paper, we develop a novel HDRI technique based on pixel-by-pixel Kalman filtering and evaluate its performance using objective metrics that this paper also introduces. In the presented experiments, this new technique achieves as much as 9.4-dB improvement in signal-to-noise ratio and can achieve as much as a 29% improvement in radiometric accuracy over a classic method.
Published in: IEEE Transactions on Image Processing ( Volume: 21, Issue: 2, February 2012)
Page(s): 527 - 536
Date of Publication: 11 August 2011

ISSN Information:

PubMed ID: 21843994

References

References is not available for this document.