高动态范围红外图像压缩与细节增强算法

High dynamic range infrared image compression and detail enhancement algorithm

针对高动态范围内红外图像在进行压缩成像时存在细节丢失、噪声放大、梯度反转等问题,提出一种基于对比度限制直方图均衡(CLAHE)的动态范围红外图像压缩及细节增强算法。使用导向滤波将红外图像分为低空间频率层和高空间频率层;对低空间频率层使用限制对比度直方图均衡算法进行图像压缩;对高空间频率层使用锐化滤波增强细节;处理后的低空间频率层和高空间频率层线性叠加得到细节增强图像。通过与平台直方图均衡化、小波变换图像增强、双边变换图像增强等图像增强算法对比,结果表明:本算法在红外图像动态范围压缩过程中可以有效突出图像细节,增强对比度,削弱噪点。

Aiming at the problems of detail loss,noise amplification and gradient inversion in high dynamic range infrared image compression,a dynamic range infrared image compression and detail enhancement algorithm is proposed based on contrast limited histogram equalization.In this paper,Guided-Filter is used to divide infrared image into low spatial frequency layer and high spatial frequency layer;The limited contrast histogram equalization algorithm is used for image compression in low spatial frequency layer;For high spatial frequency layer,Sharpening-Filter is used to enhance details;The processed low spatial frequency layer and high spatial frequency layer are linearly superimposed to obtain the detail enhanced image.Compared with the platform histogram equalization,wavelet transform image enhancement,bilateral transform image enhancement and other image enhancement algorithms,the results show that the algorithm can effectively highlight the image details,enhance the contrast and weaken the noise in the process of infrared image dynamic range compression.