基于模糊小波的光照干扰图像对比度增强方法  

Light interference image contrast enhancement method based on fuzzy wavelet

作　　者：郝兵[1] 李萍[2] 刘东[2] HAO Bing;LI Ping;LIU Dong(Hetao College,Bayannur 015000,China;Inner Mongolia Normal University,Huhot 010022,China)

机构地区：[1]河套学院,内蒙古巴彦淖尔015000 [2]内蒙古师范大学,呼和浩特010022

出　　处：《激光杂志》2023年第11期104-108,共5页Laser Journal

基　　金：内蒙古科技厅项目(No.2021GG0022)。

摘　　要：为了增强在光照干扰环境下图像清晰度,提出基于模糊小波的光照干扰图像对比度增强方法。提取处于光线变化和干扰状态下的图像特征,根据特征提取结果,利用小波变换对光照干扰图像去噪后,分离图像高频与低频部分,采用双边滤波器去除照射分量的低频带,采用模糊增强算法对高频带上的图像纹理边缘进行增强,结合并非完全曲线归一化方法对处理后的图像对比度增强。实验结果表明,所提方法得到的图像边缘细节丰富清晰,直方图分布更均匀,在数字图像技术方面具有极高的应用价值。In order to enhance the image clarity in the light interference environment,a contrast enhancement method based on fuzzy wavelet is proposed.Extract the image features under the light change and interference state.According to the feature extraction results,after denoising the illumination interference image by wavelet transform,separate the high-frequency and low-frequency parts of the image,remove the low-frequency band of the illumination component by bilateral filter,enhance the image texture edge on the high-frequency band by fuzzy enhancement algorithm,and enhance the contrast of the processed image by combining the incomplete curve normalization method.The experimental results show that the edge details of the image obtained by the proposed method are rich and clear,and the histogram distribution is more uniform.It has high application value in digital image technology.

关 键 词：小波变换 高频模糊 光照干扰图像 图像对比度增强 直方图匹配 归一化函数 

分 类 号：TN369[电子电信—物理电子学]