基于HVS可见光侦察图像增强方法研究

针对因外部和内部原因造成的可见光侦察图像模糊、对比度低等问题,提出了一种基于人类视觉系统(HVS)的图像增强方法。在LIP模型基础之上,应用正交Prewitt算子自适应获取图像的梯度图像,根据人眼视觉特性和图像特征计算图像增强参数,这样既具有抑制噪声的能力,又可增强和保留图像的细节信息,而且易于实时实现。实验结果表明,增强后的图像颜色、亮度、对比度适中,更适合人眼观察。

Enhancement method of visible scout images based on HVS

A image enhancement method based on HVS is proposed to overcome the problems existing in visible scout images,such as image blur,low contrast caused by the exterior and interior factors.The Prewitt operator is adopted to adaptively acquire the gradient image on the basis of LIP model.The enhancement parameter of images is calculated according to the human visual properties and image characters.In this way,it can not only play a certain role in restraining noise,but also enhance and reserve detail information of images,and is easy to achieve real-time realization.The experiments indicate that the enhanced image has an appropriate hue,brightness and contrast,and is more comfortable to people’s eyes.