一种基于局部平衡的红外图像锐化算法

A Filter for Infrared Image Edge Enhancement Based on Local Balance

首先分析红外图像边缘与随机噪声和非均匀性固定噪声的分布特点,为区别红外图像中由真实边缘和由各种噪声引起的灰度变化,给出了局部力矩矢量和局部平衡系数的定义;并且基于这两个定义,提出了基于局部平衡系数和局部对比度的图像锐化算法。该算法不同于传统图像锐化算法只基于局部对比度的缺点,在图像锐化过程中考虑图像边缘和非均匀性的空间分布的差异,不但改善了传统边缘增强算法对随机噪声放大的缺点,而且降低了非均匀性噪声的增强。实验结果表明,该方法具有良好的前景和实用价值。

Based on analyze the distribute difference between random noise and fixed noise, this article advance the definitions of local gravitation coordinate and local balance coefficient. Due to this two definitions, distinguish the grey level changes caused by real edges or noise in the infrared image. An algorithm based on the local balance coefficient and the local contrast coefficient was advanced. Different from the traditional sharpen algorithm, this algorithm consider the spatial difference between the real edge and the fixed noise. So this algorithm not only reduce the enhancement to random noise, but also to the fixed. As it is shown in experiments, the edge of the image is sharpen and the noise is suppressed. This algorithm has practicality and potential application value in the field of infrared images contrast enhancement