A New Blind Image Watermarking of Handwritten Signatures using Low-Frequency Band DCT Coefficients

Al-Gindy, Ahmed; Al-Ahmad, Hussain; Tawfik, A.; Qahwaji, Rami

doi:10.1109/icspc.2007.4728582

Cited by 12 publications

(5 citation statements)

References 4 publications

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“…We have used N=8 coefficients from each 8×8 block for watermark embedding and quantization value of q=8. These values are the best values suggested in [6] so as to have a low BER and very low effect of watermark in the perceptual appearance of image.…”

Section: B Experimenal Results Of Dct Based Watermarkingmentioning

confidence: 91%

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An Integrity Verification System for Images Using Hashing and Watermarking

Vasu

George

Deepthi

2012

2012 International Conference on Communication Systems and Network Technologies

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Integrity verification is verifying the originality of an object. A number of robust and secure image hashing methods are existing in literature, which are suited for integrity verification of images. However, a complete system for integrity verification which clearly distinguishes between acceptable and malicious manipulations is still in research. This paper presents a complete system for integrity verification of images using, an image hashing method based on Fast Johnson Lindenstrauss Transform (FJLT) and a DCT based blind watermarking method. The proposed method is robust against JPEG compression of quality level more than 60 and is able to distinguish from all other possible manipulations.

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Section: B Experimenal Results Of Dct Based Watermarkingmentioning

confidence: 91%

“…A blind watermarking technique using DCT coefficients in the low frequency band was proposed by Ahmed N. Al Gindy, Hussain Al Ahmad, Ayman Tawfik and Rami A. Qahwaji in [6]. This method of watermarking is invisible and blind in nature.…”

Section: Blind Watermarking Using Dct Coefficentsmentioning

confidence: 98%

An Integrity Verification System for Images Using Hashing and Watermarking

Vasu

George

Deepthi

2012

2012 International Conference on Communication Systems and Network Technologies

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“…The image is screened to locate the best low frequency coefficients with the highest amplitude [4]. These coefficients will be used to embed the ownership watermarking information using scaled Odd/Even quantization technique [3]. Fig.…”

Section: Dct Encoding Algorithmmentioning

confidence: 99%

“…The two main categories are spatial and transform domain techniques. Usually the frequency domain watermarking is more robust than the spatial domain techniques [3]. Another classification of watermarking techniques is based on whether the original image is needed in the watermark extraction process or not.…”

Section: Introductionmentioning

confidence: 99%

Multi watermarking algorithm based on DCT and hash functions for color satellite images

Kunhu

Al-Ahmad

2013

2013 9th International Conference on Innovations in Information Technology (IIT)

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This paper deals with a multi watermarking algorithm which embeds robust ownership watermark and fragile authentication information into satellite images to protect the copyright ownership and integrity of the images. This new watermarking technique is totally blind and does not require the original satellite image for the extraction process of the embedded information. The robust watermark is embedded first in the discrete cosine transform (DCT) and the second hash authentication code is embedded in the spatial domain. The new technique offers high peak signal to noise ratio (PSNR) and similarity structure index measure (SSIM) values. The technique was successfully tested on a variety of satellite images. The fragile watermark is sensitive to any slight tampering and can locate the area of the editing. The robust watermark survived many intentional and non intentional attacks.

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“…This paper proposes the use of Walsh functions to improve the robustness of digital image watermarking techniques. In the proposed algorithms: first, Walsh functions of eight sequences are used to encode the watermark before embedding it in the lu minance component (Y) of the host colour image [8]. The second algorith m will allow the watermark to be embedded many times in grey images captured by a mobile phone camera to increase the robustness against many attacks [9].…”

Section: Introductionmentioning

confidence: 99%

1-D Walsh Coding With DCT Block Watermarking Technique of Colour Images Using Y Channel

Ahmed

Al-Ahmad²,

Gaydecki³

2012

AJSP

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In this paper a new blind technique using one dimensional Walsh coding to improve the robustness of image watermarking is presented. The proposed technique inserts the binary bits of handwritten signatures in the DCT blocks of the Y channel of the digital colour image. Watermarking algorith m wh ich uses 1-D Walsh coding to embed mobile phone digits in images captured by the phone camera is also introduced. The 1-D Walsh coding can be applied either horizontally or vertically. The results presented here were obtained for horizontal 1-D Walsh coding. These results prove that the use of Walsh coding has improved robustness against JPEG co mpression.

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A New Blind Image Watermarking of Handwritten Signatures using Low-Frequency Band DCT Coefficients

Cited by 12 publications

References 4 publications

An Integrity Verification System for Images Using Hashing and Watermarking

An Integrity Verification System for Images Using Hashing and Watermarking

Multi watermarking algorithm based on DCT and hash functions for color satellite images

1-D Walsh Coding With DCT Block Watermarking Technique of Colour Images Using Y Channel

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