Journal ArticleDOI
Selective scalable secret image sharing with verification
Jung-San Lee,You-Ren Chen +1 more
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TLDR
The Salient map is introduced to develop a new method, in which the ROIs (region of interesting) of secret image can be revealed progressively, and to the best of the authors' knowledge, this is the first SSIS that employs a meaningful shadow.Abstract:
Scalable secret image sharing (SSIS) is a new secret image sharing technique. The feature of scalability refers to the fact that the revealed secret information is proportional to the number of gathered shadows. Once all of the valid shadows are collected, the complete secret can be revealed easily. The kernel of secret information, however, may be leaked out with a few shadows collected in the existing SSIS mechanisms. This is because researchers seldom concerned about secret distribution. Thus, we introduce the Salient map to develop a new method, in which the ROIs (region of interesting) of secret image can be revealed progressively. Additionally, we introduce the concepts of meaningful shadow and verification to SSIS. To the best of our knowledge, this is the first SSIS that employs a meaningful shadow. The leading adoption can greatly help reduce the attention of attackers in order to enhance the security, while the second concept can avoid malicious behaviors from outside attackers or dishonest members.read more
Citations
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Robust video encryption for H.264 compressed bitstream based on cross-coupled chaotic cipher
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The intelligent vehicle target recognition algorithm based on target infrared features combined with lidar
Wanyi Zhang,Xiuhua Fu,Wei Li +2 more
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Image segmentation algorithm based on neutrosophic fuzzy clustering with non-local information
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Aerobics posture recognition based on neural network and sensors
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References
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Journal ArticleDOI
How to share a secret
TL;DR: This technique enables the construction of robust key management schemes for cryptographic systems that can function securely and reliably even when misfortunes destroy half the pieces and security breaches expose all but one of the remaining pieces.
Proceedings ArticleDOI
Salient Object Detection: A Discriminative Regional Feature Integration Approach
TL;DR: This paper regards saliency map computation as a regression problem, which is based on multi-level image segmentation, and uses the supervised learning approach to map the regional feature vector to a saliency score, and finally fuses the saliency scores across multiple levels, yielding the salency map.
Journal ArticleDOI
Secret image sharing
Chih-Ching Thien,Ja-Chen Lin +1 more
TL;DR: A method such that a secret image is shared by n shadow images, and any r shadow images of them can be used to restore the whole secret image, and the size of each shadow image is smaller than the secret image in this method.
Journal ArticleDOI
Secret image sharing with steganography and authentication
Chang-Chou Lin,Wen-Hsiang Tsai +1 more
TL;DR: A novel approach to secret image sharing based on a (k, n)-threshold scheme with the additional capabilities of steganography and authentication with the capability of authenticating the fidelity of each processed camouflage image, called a stego-image is proposed.
Journal ArticleDOI
Improvements of image sharing with steganography and authentication
TL;DR: A scheme to improve authentication ability that prevents dishonest participants from cheating is presented and the arrangement of embedded bits is defined to improve the quality of stego-image.
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