基于自适应平台阈值和拉普拉斯变换的红外图像增强

Enhancement of infrared images based on adaptive platform threshold and Laplace transformation

针对红外图像对比度低和边缘模糊的特点,提出了一种结合自适应平台直方图均衡化和拉普拉斯变换的方法。采用双数字信号处理器(DSP)并行处理,其中一片DSP采用自适应平台直方图均衡化的方法获得对比度增强后的图像;另一片DSP则进行拉普拉斯变换获得原始图像的边缘图像;最后由第二片DSP完成两幅图像按系数相乘后的叠加融合。实验结果表明:该算法增强效果和实时性较好,处理频率可达50 Hz,既提高了图像对比度又清晰了图像边缘,是提高图像对比度和边缘清晰度的高效算法。

As for low contrasts and fuzzy edges of infrared images,an infrared image enhancement method combined with adaptive platform histogram equalization and Laplace transformation is pressented to not only improve the image contrasts but also to sharp the image edges.The algorithm uses double Digital Signal Processors（DSP） to complete parallel processing.Among them,a DSP obtains the image contrast enhancement by using the adaptive platform histogram equalization,and the other one performs Laplace transform algorithm to obtain the edge image from an original image.Finally,the multiplied fusion of two images is finished by coefficient superposition.Experimental results show that this algorithm has an excellent enhancement effect and real-time performance,which satisfies the requirement of 50 Hz processing frequency and improves the image contrast and sharps the image edge.