Embedding of any type of data in images based on a human visual model and multiple-based number conversion

Wu, Da; Tsai, Wen‐Hsiang

doi:10.1016/s0167-8655(99)00118-x

Cited by 17 publications

(5 citation statements)

References 18 publications

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“…Figure 6 and the extracted watermark is illustrated in Figure 6(f), where the watermark has been seriously distorted; however, the word "Mandrill" remains identifiable. Figure 7 demonstrates another robust watermarking scheme in the DCT domain, which is designed to be robust to the JPEG compression (Wu & Tsai, 1999). Figure 7(a) is the watermarked Lena after JPEG compressing with 50% quality, and the smaller logo on the right of Lena is the extracted watermark from the compressed Lena.…”

Section: Robust Watermarkingmentioning

confidence: 99%

Digital Image Authentication

Wei¹,

2011

International Journal of Digital Library Systems

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Digital image authentication refers to all the techniques performing anti-falsification, digital image copyright protection, or access control. A large number of DIA techniques have been developed to authenticate digital images, including cryptography-based digital image authentication (CBDIA) techniques and data-hiding-based digital image authentication (DHBDIA) techniques. This paper not only provides some practical applications on image authentication, but also describes general frameworks of image watermarking and the general techniques, including robust watermarking, fragile watermarking, and semi-fragile watermarking. This paper also addresses the potential issues on future research directions, including managing the PRNU database, development of advanced PRNU-based blind authentication techniques, and search for digital fingerprints.

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Section: Robust Watermarkingmentioning

confidence: 99%

Digital Image Authentication

Wei¹,

2011

International Journal of Digital Library Systems

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“…In authentication stage, the one bit authentication code, b i , is extracted in each stego-block B i 90 by following equation: 5 The representation of the 7 pixels in each in each 167 blocks 2 AND 00000010 (2) =2 1 (12) where 1(i((m6m)/2. Any illegal stego-image will fail in authentication stage.…”

Section: Authentication and Secret Image Recovery Proceduresmentioning

confidence: 99%

“…Also, it is a common problem of most steganography methods used for embedding secret data in camouflage images. 1,9,11,12 Therefore, it is the purpose of this study to reduce the enlargement of stego-images and maintain the capability of image authentication.…”

Section: Introductionmentioning

confidence: 99%

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

Hwang

Kao

2009

The Imaging Science Journal

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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

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“…Due to fast growth of Internet applications and digital equipments, digitized images become more and more popular. Because of the ease of digital duplication and tampering, image security becomes an important issue nowadays [1,[6][7][8][9]. In certain application cases, it is a risk if a set of secret image is held by only one person without extra copies because the secret image set may be lost incidentally or modified intentionally.…”

Section: Introductionmentioning

confidence: 99%

Forgery Detection in Meteorological Facsimile Maps via Intrinsic Features

Wang¹,

Xu²,

Yang³

et al. 2013

Proceedings of the 2013 International Conference on Remote Sensing,Environment and Transportation Engineering

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This paper discusses the forgery detection problem in meteorological facsimile maps via the intrinsic features of these maps. Meteorological facsimile maps are of much importance to navigation in ocean. Once the meteorological facsimile maps are tampered, the safety of ships will be possibly greatly decreased because of possible disaster by execrable weather. We exploited the problem to detect the possible forgeries by the intrinsic features of meteorological facsimile maps such as binary value, fixed form, sparseness and rationallydeveloping weather system and so on. Experiments show that the forgeries can be detected effectively in meteorological facsimile maps via the proposed intrinsic features.

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Embedding of any type of data in images based on a human visual model and multiple-based number conversion

Cited by 17 publications

References 18 publications

Digital Image Authentication

Digital Image Authentication

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

Forgery Detection in Meteorological Facsimile Maps via Intrinsic Features

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