基于引导滤波的高动态红外图像压缩算法

High dynamic infrared image compression algorithm based on guided filtering

非制冷红外机芯的原始图像位宽为14 Bit,虽然相对于8 Bit红外图像来说,14 Bit红外原始图像具有灰度动态范围更广、灵敏度更高、包含细节信息更多的优点,但是由于普通显示设备能够显示的最大灰度范围为8 Bit,所以需要对14 Bit原始图像进行压缩,以满足常规显示设备显示及后端图像处理的需求。若压缩算法性能不佳,在图像压缩过程中可能会丢失大量的细节信息,直接影响成像质量。本文提出了一种基于引导滤波的压缩和显示算法,该算法首先利用引导滤波对图像进行分层,根据不同图层的特点和在合成图像中的作用,分别进行增强和降噪处理,使合成图片具有良好的显示效果。通过与常用算法的仿真对比实验,以及对视觉效果和定量评价参数两个方面的实验结果分析,本文所提出算法在压缩和图像处理的性能表现上均获得一定程度的提升。

The original image of uncooled infrared movement has a Bit width of 14 Bit.Compared with the 8 Bit infrared image,the 14 Bit infrared original image has the advantages of wider gray dynamic range,higher sensitivity and more detailed information.However,because the maximum gray range that ordinary display equipment can make is 8 Bit,it is necessary to compress the 14 Bit original image to meet the requirements of conventional display equipment and back-end image processing requirements.If the performance of the compression algorithm is poor,a lot of details may be lost in the process of image compression,which directly affects the image quality.In this paper,a compression and display algorithm based on guided filter is proposed.Firstly,guided filter is used to layer the image.According to the characteristics of different layers and the role in the synthetic image,the enhancement and noise reduction are carried out respectively,so that the synthetic image has a good display effect.By comparing the simulation results with common algorithms,and analyzing the experimental results of visual effect and quantitative evaluation parameters,it is proved that the algorithm proposed in this paper has a certain improvement in the overall performance.