Research On Infrared Image Enhancement Enhancement Algorithm Based On Vision Bionics

The infrared image's dynamic range of gray is very narrow,so there are some defects such as low contrast,weak details and blurred visual effects.However,people's requirements for the quality of infrared images have been increasing,which has led to the continuous development of infrared image enhancement technology.The traditional technology did not deeply study the visual characteristics,resulting in images with high mathematical indicators but not suitable for human eyes.The research of infrared image enhancement based on visual bionics combines visual principle and makes the visual perception effect of images better.Therefore,it has important research significance.This topic focuses on the in-depth analysis of infrared image enhancement technology based on bio-visual characteristics,applying the optical properties,contrast resolution characteristics of human eyes and the lateral inhibition principle of limulus to infrared image enhancement.Firstly,in view of the problem of low contrast of infrared image,this thesis makes a detailed analysis of resolution characteristics of human eyes and just noticeable difference curve,combines the resolution characteristics of human eyes which is low in low gray level and high level,slightly stronger in the middle gray level.And then an adaptive grayscale transformation algorithm is proposed.This algorithm can map the background of the image to areas with poor resolution of human eyes.At the same time,it maps the target to regions with strong resolution ability of human eyes,hence the noise of background is suppressed,the human eyes' perception of targets is effectively enhanced,and the image contrast and peak signal to noise ratio are improved.Secondly,in view of fuzziness in infrared image details,after analyzing the key links in the lateral inhibition network that affect the effect of image enhancement,this thesis combines lateral inhibition features that it can enhance image contrast and highlight edges and proposes an algorithm of infrared image enhancement based on lateral inhibition coefficients calculated by quadratic function,in view of the importance of lateral inhibition coefficient's distribution to image effects and the problem of energy recovery affecting brightness perception of infrared image target.The algorithm uses the image's gray information to obtain the inhibition range,controls the rate of decay of the quadratic function,enhances the effect of image's edge enhancement,increases the contrast,and then uses the gray-scale average ratio to recover the energy of the image,adjusts the background's gray-level,and then ensures the human eye's suitability for the target's perception.Finally,the thesis uses infrared images to simulate and analyze the proposed algorithm.The results of simulation experimental show that compared with the traditional method,the visual effects of the infrared image imp roved by this algorithm are more ideal.At the same time,the image processed by the gray-scale transformation algorithm in this paper obtains higher contrast.The image processed by the lateral suppression algorithm has higher average gradient.