Efficient Enhancement Technique of Infrared Images

Neven Sadic, S. El-Dolil, E. Hassan
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Abstract

This paper presents an efficient technique for enhancement of infrared (IR) images. It modifies the local luminance mean of an IR image and controls the local contrast as a function of the local luminance mean of the image. The technique first separates an image into both its low-pass and high-pass filtered form components. The low-pass component then controls the amplitude of the high-pass component to increase the local contrast. The low-pass component is then subjected to a non-linearity to modify the local luminance mean of the image and is combined with the processed high-pass component. The performance of this technique when applied to IR images shows good enhancement compared with the other traditional enhancement techniques.
红外图像的高效增强技术
提出了一种有效的红外图像增强技术。它修改红外图像的局部亮度平均值,并控制局部对比度作为图像的局部亮度平均值的函数。该技术首先将图像分为低通和高通滤波形式组件。然后,低通分量控制高通分量的幅度,以增加局部对比度。然后对低通分量进行非线性处理以修改图像的局部亮度平均值,并与处理后的高通分量相结合。与其他传统增强技术相比,该技术对红外图像的增强效果较好。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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