JPEG格式
计算机科学
隐身
计算机视觉
图像文件格式
加密
人工智能
钥匙(锁)
块(置换群论)
转化(遗传学)
图像(数学)
计算机安全
数学
生物化学
基因
化学
几何学
作者
Xin Cao,Yuxuan Huang,Hao Wu,Yiu-ming Cheung
出处
期刊:Applied Sciences
日期:2020-09-27
卷期号:10 (19): 6776-6776
被引量:4
摘要
With the popularity of cloud computing and social networks, more and more JPEG images are stored and distributed. Consequently, how to protect privacy and content in JPEG images has become an important issue. Although traditional encryption schemes can be employed, the file format of JPEG images is changed so that their usage may be affected. In this paper, a reversible visual transformation algorithm is proposed to protect content in JPEG images. Specifically, the DC coefficient in each user-selected block is modified, while the information required to recover it is reversibly hidden into AC coefficients. Then the signs of AC coefficients in the selected blocks are flipped and the blocks are further scrambled with a secret key. By embedding the location information of the selected blocks in a transformed image, the original image can be exactly recovered when needed. Besides, regions to be protected can be arbitrarily chosen without substantially affecting the rest of the image. The experimental results on a set of JPEG images validate the efficacy and reversibility of the proposed algorithm. In addition, good performance is achieved in terms of invisibility of the protected content, image quality, file size preservation and security.
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