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Proceedings Paper

Nonuniformity correction for improved registration and high-resolution image reconstruction in IR imagery
Author(s): Ernest E. Armstrong; Majeed M. Hayat; Russell C. Hardie; Sergio N. Torres; Brian J. Yasuda
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Paper Abstract

It is well known that non-uniformity noise in focal-plane array (FPA) sensors, which is due to the pixel-to-pixel variation in the detectors' responses, can considerably degrade the quality of images since it results in a fixed pattern that is superimposed on the true scene. This paper addresses the benefits of non-uniformity correction (NUC) pre- processing on the performance of a number of existing post- processing algorithms. The post-processing applications considered are image registration (motion compensation) and high-resolution image reconstruction from a sequence of blurred and undersampled images. The accuracy of motion estimation in the presence of non-uniformity noise is investigated in terms of the standard deviation of the gain and the offset of the FPA detectors. Two recently reported scene-based NUC techniques are employed to pre-process the FPA output prior post-processing. The first NUC technique is based on the assumption that all pixels experience the same range of irradiance over a sufficiently long sequence of frames (constant-range assumption), and the second NUC technique is registration-based and can be used recursively. It is shown that NUC improves the accuracy of registration, and consequently, enhances the benefit of high-resolution reconstruction. It is also shown that under cases of severe non-uniformity noise, a recursive application of the registration-based NUC may further improve the accuracy of registration and high-resolution image reconstruction. The results are illustrated using real and simulated data.

Paper Details

Date Published: 18 October 1999
PDF: 12 pages
Proc. SPIE 3808, Applications of Digital Image Processing XXII, (18 October 1999); doi: 10.1117/12.365831
Show Author Affiliations
Ernest E. Armstrong, Air Force Research Lab. (United States)
Majeed M. Hayat, Univ. of Dayton (United States)
Russell C. Hardie, Univ. of Dayton (United States)
Sergio N. Torres, Univ. of Dayton (United States)
Brian J. Yasuda, Air Force Research Lab. (United States)

Published in SPIE Proceedings Vol. 3808:
Applications of Digital Image Processing XXII
Andrew G. Tescher, Editor(s)

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