A new temporal high-pass adaptive filter nonuniformity correction based on rolling guidance filter

Yuan Yuan; Qiong Song; Xin Guo; Yuehuan Wang

doi:10.1117/12.2539305

14 February 2020 A new temporal high-pass adaptive filter nonuniformity correction based on rolling guidance filter

Yuan Yuan, Qiong Song, Xin Guo, Yuehuan Wang

Proceedings Volume 11428, MIPPR 2019: Multispectral Image Acquisition, Processing, and Analysis; 114280L (2020) https://doi.org/10.1117/12.2539305
Event: Eleventh International Symposium on Multispectral Image Processing and Pattern Recognition (MIPPR2019), 2019, Wuhan, China

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.

Citation Download Citation

Yuan Yuan, Qiong Song, Xin Guo, and Yuehuan Wang "A new temporal high-pass adaptive filter nonuniformity correction based on rolling guidance filter", Proc. SPIE 11428, MIPPR 2019: Multispectral Image Acquisition, Processing, and Analysis, 114280L (14 February 2020); https://doi.org/10.1117/12.2539305

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