基于阶跃滤波器的低照度图像边缘增强算法  

Edge Enhancement Algorithm of Low Illumination Image Based on Step Filter

作　　者：万方[1] 雷光波[1] 徐丽[1] WAN Fang;LEI Guang-bo;XU Li(School of Computer,Hubei University of Technology,Wuhan Hubei 430068,China)

机构地区：[1]湖北工业大学计算机学院,湖北武汉430068

出　　处：《计算机仿真》2022年第5期220-224,共5页Computer Simulation

基　　金：湖北省教育厅2019年科学技术研究计划指导性项目(B2019049)。

摘　　要：针对传统低照度图像增强算法存在的细节处理不到位、边缘模糊等情况,在阶跃滤波器的基础上,提出一种低照度图像边缘增强算法。按照亮度分量分解图像,得到基本层和细节层,利用阶跃滤波器对基本层做平滑滤波处理,突出图像的细节部分,同时增强细节层,尽可能多地保留图像细节信息以及边缘信息,所有增强过程均处于0震荡环境下,避免图像重组后出现较大的偏差,完成重组后的图像即为增强后的低照度图像。通过仿真对比实验,从主观和客观两个方面分析,均验证了所提方法在增强低照度图像边缘方面具有明显的优势,同时确保图像细节不会丢失。Aiming at the problems of inadequate detail processing and edge blur in the traditional low illumination image enhancement algorithm,a low illumination image edge enhancement algorithm based on step filter was designed in this paper.According to the luminance component,the image was decomposed to obtain the basic layer and the detail layer.The step filter was applied to smooth the filtering of the basic layer in order to highlight the details of the image.The detail layer was enhanced to preserve the image details and edge information as much as possible.All enhancement processes were in a 0-shake environment to avoid large deviation after image reorganization,and tttthe reconstructed image was the enhanced low illumination image.The results show that the image edge and image details processed by this method are better than the traditional methods.

关 键 词：阶跃滤波器 低照度图像 图像重组 图像分解 

分 类 号：TP352.3[自动化与计算机技术—计算机系统结构]