红外图像的高效增强技术

Neven Sadic, S. El-Dolil, E. Hassan
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引用次数: 0

摘要

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。
Efficient Enhancement Technique of Infrared Images
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.
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