数据采集与处理2025，Vol.40Issue(1)：102-116,15.DOI:10.16337/j.1004-9037.2025.01.008
极低比特率图像压缩技术综述
Review of Very Low Bitrate Image Compression Techniques
摘要
Abstract
Image is one of the important ways to obtain information.With the increasing demand of image transmission and storage,especially in bandwidth limited or cloud storage situations,compressing images at extremely low bitrates is of great significance for improving transmission efficiency and saving storage space.Based on this,this paper presents a systematic review of very low bitrate compression techniques for lossy images.Firstly,on the basis of problems of image compression derivative algorithms based on generative adversarial network(GAN)in terms of high-resolution image compression,generating image blur,and neglecting semantic and texture information,the latest very low bitrate image compression methods are introduced.Then,this paper elaborates image compression methods that achieve very low bitrate using non-GAN models such as layered compression,object based,and region of interest.After that,the commonly used datasets and image quality evaluation methods under lossy compression conditions are described.Finally,a summary of very low bitrate lossy image compression techniques are made,and an outlook on their subsequent development is given.关键词
图像压缩/极低比特率/图像有损编码/深度学习/生成对抗网络Key words
image compression/very low bitrate/image lossy encoding/deep learning/generative adversarial network(GAN)分类
信息技术与安全科学引用本文复制引用
岳爽,陈喆,殷福亮..极低比特率图像压缩技术综述[J].数据采集与处理,2025,40(1):102-116,15.基金项目
国家自然科学基金(61871066,62271103). （61871066,62271103）
