Didi Rosiyadi

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Keywords: Blind Quantizing value Discrete cosine transform Singular value decomposition E-government Genetic algorithm Pick signal to noise ratio Minimum square error a b s t r a c t An efficient blind copyright protection for e-government document images is proposed through a combination of the discrete cosine transform (DCT) and the singular value(More)
This paper proposes an adaptive watermarking scheme for e-government document images. The adaptive scheme combines the discrete cosine transform (DCT) and the singular value decomposition (SVD) using luminance masking. As a core of masking model in the human visual system (HVS), luminance masking is implemented to improve noise sensitivity. Genetic(More)
This study presents a resistant digital image watermarking scheme based on masking model. The Singular Value Decomposition (SVD) method has been used on this scheme based on luminance masking with non-blind watermarking model in which an original image was needed in an extraction process. The resistance of digital images was checked against some of(More)
This paper presents a watermarking scheme based on DCT using HVS characteristic. The proposed watermarking scheme hides watermark into an image, and takes HVS characteristic into consideration during the watermark embedding process. The image is first divided into blocks. Blocks containing significant DC coefficients, which represent the bright area of the(More)
This paper proposed the reversible image watermarking based on histogram modification and virtual border to protect the digital image originality. The color histogram was used to embed the digital signature of image. The histogram was modified based on the payload, thus the changes can be minimized. The reversibility was obtained from the storing of changes(More)
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