数字图像重压缩检测研究综述

Survey on Recompression Detection for Digital Images

随着数字图像处理技术的广泛应用,数字图像处理软件在给人们的工作和生活带来便利的同时,由恶意篡改图像所引发的一系列社会问题也亟待解决,因此能够对图像的真实性和完整性进行判断的数字图像取证技术显得尤其重要。篡改图像必然会经过重压缩这一步骤,因此数字图像重压缩检测能够为数字图像取证提供强有力的辅助依据。文中对数字图像重压缩检测研究进行了系统的梳理,提出了数字图像重压缩检测的技术框架,详细阐述了无损图像压缩历史检测、有损压缩图像双重压缩检测、有损压缩图像多重压缩检测以及其他格式的重压缩检测的取证算法和思路,对现有算法进行了性能分析和评价。然后,总结了图像重压缩检测的应用。最后,分析了数字图像重压缩检测目前存在的问题,并对未来的发展方向进行了展望。

With the wide application of digital image processing technology,the softwares of digital image processing have brought more convienience in our work and daily life,but a series of social problems caused by malicious tampered images also need to be solved,so the digital image forensics technology,which can judge the authenticity and integrity of the image,is particularly important.Since tampered images are always accompanied with the process of recompression,recompression detection can provide strong supporting evidence for digital image forensics.This paper systematically analyzed the current research of recompression detection,proposed a general framework for recompression detection,and elaborated the history detection of lossless images compression,double compression detection of loss images,multiple compression detection of lossless images,and recompression detection of other formats.This paper also analyzed and evaluated the performance of the existing algorithms,and then summarized the application of image compression detection.Finally,this paper analyzed the existing problems of recompression detection,and prospected the future development directions.