基于DCT变换的图像多通道隐写算法  

Image Multi-channel Steganography Algorithm Based on DCT Transformation

作　　者：荣存庆 靳珂 赵莹 常锦才 RONG Cun-qing;JIN Ke;ZHAO Ying;CHANG Jin-cai(College of Science,North China University of Science and Technology,Tangshan Hebei 063210,China;Hebei Key Laboratory of Data Science and Applications,Tangshan Hebei 063210,China)

机构地区：[1]华北理工大学理学院,河北唐山063210 [2]河北省数据科学与应用重点实验室,河北唐山063210

出　　处：《华北理工大学学报（自然科学版）》2024年第3期87-95,共9页Journal of North China University of Science and Technology：Natural Science Edition

基　　金：国家自然科学基金(61702184):局部/全局网格参数化方法的研究

摘　　要：现有图像隐写算法多是基于单通道图像,基于多通道的图像隐写算法研究较少。文章提出一种多通道隐写算法,在图像红色通道和绿色通道上DCT域进行运算,并使用图像两个通道的AC系数来写入消息;实验结果表明,在512×512像素的图像上,对原始图像隐写“HelloWorld!”后得到隐写图像,隐写质量评价MSE=1.14,PSNR=23.50,SSIM=0.98。隐写图像与原始图像相似;在隐写分析检测中,相比传统单通道隐写算法,能更有效抵抗隐写分析检测,因此该多通道隐写算法可应用在实际通信中。The existing image steganography algorithms are based on single channel image steganography,and there is relatively little research on multi-channel image steganography algorithms.The article proposes a multi-channel steganography algorithm to operate on the DCT domain of the red and green channels of an image,and uses the size between the AC coefficients of the two channels of the image to write messages.The results indicate that at 512×512 pixel image,the steganography of"Hello World!"obtains MSE=1.14,PSNR=23.50,and SSIM=0.98.The steganographic image is similar to the original image.In steganalysis detection,compared to traditional single channel steganalysis algorithms,this multi-channel steganalysis algorithm can more effectively resist steganalysis detection,so it can be used in practical communication.

关 键 词：图像隐写 离散余弦变换变换 隐写分析 最低有效位隐写 

分 类 号：TP309.7[自动化与计算机技术—计算机系统结构]