摘要
图像在形成、记录、处理和传输过程中,由于成像系统、记录设备、传输介质和处理方法的不完善,会导致图像质量的下降。光线不足、照度不够得到的图像具有低对比度、低信噪比、细节丢失等现象,这给人们的生活带来很多不便,因此研究图像增强具有非常重要的意义。本文介绍了应用于图像增强的典型方法,分析了常见的图像增强的原理、优缺点,利用MATLAB软件强大的运算和图像处理能力对低照度图像实现图像增强,最后提出了基于机器学习的图像增强算法的发展方向。
In the process of image generationing,recording,processing and transmissioning,the image quality will decrease because of the imperfection of imaging system,recording equipment,transmission medium and processing method.The images that obtained in insufficient light and illumination have low contrast,low signal-to-noise ratio and loss of detail,which brings many inconvenience to people’s life,therefore,the study of image enhancesment is great significance.This paper introduces the typical methods applied in image enhancement,analyzes the common image enhancement principles,advantages and disadvantages,enhances the low-illumination image by the powerful operation and image processing ability of Matlab.Finally,this paper proposes the development direction of image enhancement algorithm based on machine learning.
作者
耿小芬
Geng Xiaofen(Communication University of Shanxi,Jinzhong Shanxi 030619,China)
出处
《山西电子技术》
2022年第6期86-89,共4页
Shanxi Electronic Technology
