https://www.asia.edu.tw/Main_pages/about/Former_president_TsaiWH_publications/Journal%20Paper%20PDFs/Lin_&_Tsai_JSS_2004.pdf

Secret image sharing with steganography and authentication

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.

Selective scalable secret image sharing with verification

In this paper, we shall propose a new image steganographic technique capable of producing a secret-embedded image that is totally indistinguishable from the original image by the human eye. In addition, our new method avoids the falling-off-boundary problem by using pixel-value differencing and the modulus function. First, we derive a difference value from two consecutive pixels by utilizing the pixel-value differencing technique (PVD). The hiding capacity of the two consecutive pixels depends on the difference value. In other words, the smoother area is, the less secret data can be hidden; on the contrary, the more edges an area has, the more secret data can be embedded. This way, the stego-image quality degradation is more imperceptible to the human eye. Second, the remainder of the two consecutive pixels can be computed by using the modulus operation, and then secret data can be embedded into the two pixels by modifying their remainder. In our scheme, there is an optimal approach to alter the remainder so as to greatly reduce the image distortion caused by the hiding of the secret data. The values of the two consecutive pixels are scarcely changed after the embedding of the secret message by the proposed optimal alteration algorithm. Experimental results have also demonstrated that the proposed scheme is secure against the RS detection attack.

(Journal of Systems and Software, 81(1):150-158)A high quality steganographic method with pixel-value differencing and modulus function

A high quality steganographic method with pixel-value differencing and modulus function

Improvements of image sharing with steganography and authentication

https://ir.nctu.edu.tw:443/bitstream/11536/28230/1/000180105400032.pdf

Chang-Chou Lin

Papers

Secret image sharing with steganography and authentication

Visual cryptography for gray-level images by dithering techniques

Secret Multimedia Information Sharing with Data Hiding Capacity by Simple Logic Operations