非致冷红外枪瞄实时图像增强算法研究

A Real-Time Image Enhancement Algorithm for Un-Cooled Light Thermal Weapon Sight

针对提高红外枪瞄图像增强的实时性提出了一种算法,用连续帧累加平均抑制噪声,用灰度直方图的非线性拉伸增强灰度对比度。这种算法综合考虑了图像特点和人眼的视觉特性,易于在硬件上实现,而目标增强效果不变。最后用图像质量评估模型评估增强后的图像清晰度,说明该方法适于中远距离红外枪瞄图像使用。

In order to shorten the processing time of enhancement in infrared image, a new algorithm was put forward, namely, combining sequential neighbor frame accumulation and nonlinear expanding of gray histogram. This method can be realized easily on hardware without damaged enhancement result. Finally, quality of enhanced image is evaluated through a model. It was proved that the method is proper for object image from mid-distance through light thermal weapon sight.