Infrared image detail enhancement approach based on improved joint bilateral filter

Jun Xie; Ning Liu

doi:10.1117/12.2315567

20 February 2018 Infrared image detail enhancement approach based on improved joint bilateral filter

Jun Xie, Ning Liu

Proceedings Volume 10697, Fourth Seminar on Novel Optoelectronic Detection Technology and Application; 106972J (2018) https://doi.org/10.1117/12.2315567
Event: Fourth Seminar on Novel Optoelectronic Detection Technology and Application, 2017, Nanjing, China

Abstract

In this paper, we proposed a new infrared image detail enhancement approach. This approach could not only achieve the goal of enhancing the digital detail, but also make the processed image much closer to the real situation. Inspired by the joint-bilateral filter, two adjacent images were utilized to calculate the kernel functions in order to distinguish the detail information from the raw image. We also designed a new kernel function to modify the joint-bilateral filter and to eliminate the gradient reversal artifacts caused by the non-linear filtering. The new kernel is based on an adaptive emerge coefficient to realize the detail layer determination. The detail information was modified by the adaptive emerge coefficient along with two key parameters to realize the detail enhancement. Finally, we combined the processed detail layer with the base layer and rearrange the high dynamic image into monitor-suited low dynamic range to achieve better visual effect. Numerical calculation showed this new technology has the best value compare to the previous research in detail enhancement. Figures and data flowcharts were demonstrated in the paper.

Citation Download Citation

Jun Xie and Ning Liu "Infrared image detail enhancement approach based on improved joint bilateral filter", Proc. SPIE 10697, Fourth Seminar on Novel Optoelectronic Detection Technology and Application, 106972J (20 February 2018); https://doi.org/10.1117/12.2315567

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KEYWORDS

Image enhancement

Image filtering

Image processing

Infrared imaging

Infrared radiation

Visualization

Gaussian filters

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