计算机应用研究2024，Vol.41Issue(4)：1275-1280,6.DOI:10.19734/j.issn.1001-3695.2023.06.0384
基于颜色编码和图像隐写术的可逆灰度方法
Invertible grayscale method based on color coding and image steganography
摘要
Abstract
To address the problems of poor visual quality of synthesized grayscale and insufficient restoration of reconstructed color image in existing methods,this paper proposed an invertible grayscale method based on color coding and image steganogra-phy(IG-CCIS).The proposed method utilized an invertible neural network(INN)to construct an efficient color codec,and in-troduced dense convolutional blocks and channel attention mechanisms to further improve the performance of the network model,comprehensively reducing the loss of color information.In addition,in order to load encoded information into grayscale images and reduce image distortion caused by the embedding processed,it designed an image steganography algorithm based on exploi-ting modification direction(EMD).Through adaptive weight parameter selection,it could meet different embedding capacity re-quirements in a near-optimal manner and reduce the modification of grayscale images.Experimental tested on Kodak and Mc-Master datasets show that compared with existing representative reversible grayscale methods,the proposed method can generate better-quality reversible grayscale images and reconstruct more realistic color images,with better visual effects in image visualiza-tion.It also achieves better performance in terms of similarity evaluation metrics with standard reference images.关键词
可逆灰度方法/颜色编码/图像隐写术/可逆神经网络Key words
invertible grayscale/color coding/image steganography/invertible neural network分类
信息技术与安全科学引用本文复制引用
林焕然,朱姗姗,彭凌西,彭绍湖,林煜桐,谢翔..基于颜色编码和图像隐写术的可逆灰度方法[J].计算机应用研究,2024,41(4):1275-1280,6.基金项目
广州市教育局高校科研资助项目(202235165) （202235165）
