基于边缘端的红外图像增强算法

打开文本图片集

中图分类号： TP391 文献标志码： A 文章编号： 1671-6841（2025）04-0047-08

DOI： 10.13705/j . issn. 1671-6841. 2023235

Abstract： In recent years， the low latency and high efficiency characteristics of edge computing have extensive applications in infrared imaging systems， which could effectively reduce operational costs. However， issues such as low contrast and blurry details in infrared images still needed to be addressed. To solve these problems， an edge infrared image enhancement algorithm based on Lagrange interpolation and multi-scale guided filtering was proposed. This algorithm consisted of two phases. In the first phase， the Lagrange interpolation algorithm was used to achieve non-uniform correction for infrared data in the edge end. The Lagrange nonlinear interpolation was more in line with the response curve of the infrared detector， which effectively solved the problem of non-uniform noise introduced during imaging. In the second phase， multi-scale guided filtering was employed to process the infrared image in a hierarchical manner. Multiple scales were used to extract various details from images， and by fusing these different detail layers， a richer detailed information was obtained. Experimental results demonstrated that， compared to 5 traditional algorithms， this algorithm outperformed the suboptimal algorithm by 15.2% in the enhancement measure evaluation metric and achieved a 7.9% improvement in the peak signal to noise ratio metric.

Key words： edge computing; non-uniformity correction; Lagrange interpolation; multi-scale guided filtering

0 引言

边缘计算是物联网与云计算发展的产物，其数据由本地设备采集处理，不再经过漫长的网络传送数据中心或者云中心处理[ 1-2] ，因此具有低延时、高效性等特点，近年来被广泛应用于各种场景中。（剩余11993字）