基于红外图像灰度分布集中、对比度低的特点，结合人眼视觉特性，提出了基于人眼视觉特性的非线性变换方法。基于人眼灰度分辨能力随灰度变化的线性关系，推导了人眼的可分辨率灰度函数和基于人眼视觉的非线性变换函数，建立了人眼的非线性变换模型，实现了将有限的红外图像信息映射到有利于人眼观察的灰度分布区域。实验结果表明，该方法处理的图像反差适中、纹理明晰、细节部分对比明显，有效解决了红外图像低对比度和细节模糊的问题。

The infrared image has disadvantages of low contrast and gray concentration. Based on the human visual properties, a method of nonlinear transformation of infrared image based on HVS (human visual system) is presented. Based on the human gray resolution function, the human gray resolution-able function and the nonlinear transformation function based on HVS are deduced, and the model of human nonlinear transformation is proposed, which makes the information-limited infrared image suitable for human observation. The simulation results show that the images after processing have good contrasts, texture with clarity and detail with bright contrast, and the algorithm can solve the problems of low contrast and fuzzy detail of infrared image.