隐写术
计算机科学
隐写分析技术
信息隐藏
图像(数学)
过程(计算)
物联网
人工智能
计算机视觉
方案(数学)
数据挖掘
计算机安全
数学
数学分析
操作系统
作者
Minakshi Sarkar,Indrajit Banerjee,T. K. Ghosh,Anirban Samanta,Anirban Sarkar
出处
期刊:Advances in systems analysis, software engineering, and high performance computing book series
日期:2023-04-28
卷期号:: 123-142
标识
DOI:10.4018/978-1-6684-7524-9.ch007
摘要
Technologies related to the internet of things (IoT) have been extensively employed in business operations, military research, networking technologies, etc. With the proliferation of the IoT, data theft and leakage have gradually increased because the data communication system is public. Various novel steganography algorithms have been proposed for data hiding. But in this process, the quality of the hidden image decreases badly. We want to give an accurate color to the image instead of severe color changes. To change it, we have to perform a colorization process by mapping the original image to the stego image. It gains more characteristics according to the actual embodiment. Here, the objective is to improve the appearance by calculating the loss function. The stego image can withstand steganalysis by using the authors' proposed scheme by maintaining its integrity while to some extent improving the quality of the image. The experimental results confirmed the proposed method outperforms the existing methods (SGAN and CycleGAN) for information hiding with enhanced image transmission quality.
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