A new approach to the secret image sharing with steganography and authentication

Abstract

Steganography can be viewed as cryptography. It includes a variety of secret communication methods that embed the existence of the message and makes it appear invisible. Both of them have been used to protect secret information. In 2004, Lin and Tsai proposed a novel secret image sharing method that was based on the (k, n)-threshold scheme with the additional capabilities of steganography and authentication. They protect a secret image by breaking it into n user-selected ordinary camouflage images. Besides, their methods also embed fragile watermark signals into the camouflage images by using parity bit checking. Recently, Yang et al. have shown three weaknesses in Lin-Tsai's scheme and further proposed improvements in 2007. They not only improve authentication ability and image quality of stego-image, but also introduce a lossless version image sharing scheme for secret image. Unfortunately, there is a common drawback both in Lin-Tsai's and Yang et al.'s scheme: The enlargement size of the camouflage images and stego-images must be 4 times of the secret image. The proposed scheme does only require 3.5 times enlargement. In addition, the experimental results of image quality analysing show that the proposed scheme has better image quality than previous methods. In other words, the proposed scheme is able to save storage space as well as to improve the image quality

Reversible and High-Capacity Data Hiding in High Quality Medical Images

“…The formula is demonstrated as follows. ( 6 ) In other words, the pixel with gray value Peak indicates that the embedded data bit was 0. If the gray value of current pixel is equal to (Peak+1, Peak+2, Peak+3), it indicates the embedded data bit was (01, 10, 11), respectively.…”

“…Nowadays, reversible data hiding schemes have been proposed by researchers [10] [16] [19] [26] [27]. In general, data hiding techniques are divided into four main kinds of techniques: data compression [1] [7] [25], pixel-value difference expansion (DE) scheme [16] [13], cryptography base scheme [5] [6] [24] and histogram scheme [9][10] [14].…”

“…Cryptography base scheme [6] regards steganography as cryptography. Therefore, a variety of secret communications messages can be embedded in a stego-image and even appear invisible.…”

Sharing a Large Secret Image Using Meaningful Shadows Based on VQ and Inpainting

“…Steganography focuses on how to embed data into cover objects, such as video, audio, and digital images. The intent is to embed data by making the smallest possible distortion to the cover object; thus, steganography may draw less attention from attackers than cryptography [23][24][25][26][27]. The most representative method of image-based steganography is least significant bit (LSB) substitution [7][8][9], which embeds the secret data by directly substituting the LSB of the cover pixels in the image with the secret bits.…”

A secure image authentication scheme for tamper detection and recovery

“…7,20,33 From the viewpoint of a receiver, on the other hand, a particular design for integrity verification needs to be established to prevent the item from being tampered without proper authorisation. 17,24,25,32 Watermarking is the art of imperceptibly embedding some information into the original work while getting it more or less modified as a result. Because there is a limit to the sensitivity of human beings' sensory organs such as the eyes and the ears, we would experience difficulty telling the subtle differences made to multimedia works.…”