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Proceedings Paper

A new temporal high-pass adaptive filter nonuniformity correction based on rolling guidance filter
Author(s): Yuan Yuan; Qiong Song; Xin Guo; Yuehuan Wang
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Paper Abstract

In this paper, we introduce a novel nonuniformity correction (NUC) algorithm for infrared focal-plane array (IRFPA). It is based on layers technique. First, the Rolling Guidance Filter (RGF) is utilized to decompose the raw IR image into a low frequency part and a high frequency part. Then, an adaptive temporal high-pass filter is utilized to filter the high frequency part by making use of the gradient and amplitude of it to estimate the Fixed Pattern Noise (FPN). The proposed scheme use the frames with large displacement to estimate the FPN to alleviate the ghosting artifacts in case of scene moves slowly. At Last, the estimated FPN is subtracted from the pristine image to obtain the correct result. Experiments with synthetic and real IR video demonstrate that the proposed method has better NUC performance and less artifacts than the state-of-the-arts.

Paper Details

Date Published: 14 February 2020
PDF: 7 pages
Proc. SPIE 11428, MIPPR 2019: Multispectral Image Acquisition, Processing, and Analysis, 114280L (14 February 2020); doi: 10.1117/12.2539305
Show Author Affiliations
Yuan Yuan, Science and Technology on Low-Light-Level Night Vision Lab. (China)
Qiong Song, Huazhong Univ. of Science and Technology (China)
Xin Guo, Science and Technology on Low-Light-Level Night Vision Lab. (China)
Yuehuan Wang, Huazhong Univ. of Science and Technology (China)


Published in SPIE Proceedings Vol. 11428:
MIPPR 2019: Multispectral Image Acquisition, Processing, and Analysis
Xinyu Zhang; Chao Pan; Hongshi Sang, Editor(s)

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