基于小波变换与二阶差分的低对比度图像增强  

Low-contrast image enhancement based on wavelet transform and second-order difference

作　　者：尚会超[1] 史聪聪 彭向前 SHANG Huichao;SHI Congcong;PENG Xiangqian(School of Mechatronics Engineering,Zhongyuan University of Technology,Zhengzhou 450007,China;School of Mechnical Engineering,Hunan University of Science and Technology,Xiangtan 411201,China)

机构地区：[1]中原工学院机电学院,河南郑州450007 [2]湖南科技大学机电工程学院,湖南湘潭411201

出　　处：《中原工学院学报》2022年第2期34-38,共5页Journal of Zhongyuan University of Technology

基　　金：河南省科技攻关项目(212102210346)。

摘　　要：针对传统小波增强算法在处理光照不均或光照不足图像时出现的图像细节丢失、图像噪声增大以及信息熵降低问题,提出了新的基于小波变换与二阶差分的图像增强算法。根据小波变换的特性,首先将图像信息分解为高频分量和低频分量,然后通过二阶差分来控制图像细节成分在输出图像中占的比例,对图像信息的高频分量进行了小波重构。实验表明,所提出算法在图像增强效果和抗噪性能上均优于AHE算法、CLAHE算法、HE算法、Laplace算法等传统的图像增强算法,在有效抑制噪声的同时能够突出图像细节信息,具有良好的适用性。The traditional wavelet enhancement algorithm in the processing of uneven illumination or insufficient illumination of the image is easy to cause the loss of image details and noise enhancement,and reduce the information entropy.In view of this situation,a new image enhancement algorithm based on wavelet transform and second-order difference is proposed.According to the characteristics of wavelet transform,firstly,the image information is decomposed into high-frequency and low-frequency components,then the proportion of image detail component in the output image is controlled by second-order difference for high-frequency part,and the wavelet reconstruction is carried out.Experimental results show that the algorithm is superior to traditional methods such as AHE algorithm,CLAHE algorithm,HE algorithm and Laplace algorithm in terms of enhancement effect and anti noise performance.It can effectively suppress noise and highlight details of image,and has good applicability.

关 键 词：小波变换 二阶差分 图像增强 

分 类 号：TP391[自动化与计算机技术—计算机应用技术]