8～12 μm热红外图像的特征增强算法研究与DSP实现

摘要

Infrared imaging technology plays an important role in the scientific and military fields.Due to the noise from the focal plane array infrared-detectors and small target infrared signal of the grey level,the noise restraining methods,such as the Gauss-filter,nonlinear median joint filtering,and sub-segment line enhancement algorithm for image enhancement features,are used.An IR image digital signal processing system (DSP) based on TMS320DM6437 is designed.The results indicate that the real-time processing system is effective for the noise suppression and features enhancement.%热红外成像技术在众多领域和军事领域都发挥着重要的作用.由于焦平面阵列FPA红外探测器的噪声大以及弱小目标红外信号的灰度级不明显,文中采用Gauss与非线性中值联合滤波抑制噪声以及分线段增强算法对图像的特征进行增强.图像实时信号处理系统(DSP)用TMS320DM6437来实现.实验结果表明:该算法和DSP实时信号处理系统的结合,实现对弱小目标的特征增强.