Saeed Sarreshtedari

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A new high capacity method for transform domain image steganography is introduced in this paper. The proposed steganography algorithm works on the wavelet transform coefficients of the original image to embed the secret data. As compared to current transform domain data hiding methods, this scheme can provide a larger capacity for data hiding without(More)
Authentication and tampering detection of the digital signals is one of the main applications of the digital watermarking. Recently, watermarking algorithms for digital images are developed to not only detect the image tampering, but also to recover the lost content to some extent. In this paper, a new watermarking scheme is introduced to generate digital(More)
Watermarking algorithms have been widely applied to the field of image forensics recently. One of these very forensic applications is the protection of images against tampering. For this purpose, we need to design a watermarking algorithm fulfilling two purposes in case of image tampering: 1) detecting the tampered area of the received image and 2)(More)
Watemarking the original images to protect them against tampering has recently attracted an overgrowing interest. Recent works in this field offer algorithms that not only localize the tampering, but also recover the original content in the lost area. In this paper, we show that this self-restoration problem can be modeled as a source-channel coding(More)
A new method is introduced for the least significant bit (LSB) image steganography in spatial domain providing the capacity of one bit per pixel. Compared to the recently proposed image steganography techniques, the new method called onethird LSB embedding reduces the probability of change per pixel to one-third without sacrificing the embedding capacity.(More)
Steganography is a process of hiding secret information's like image, video, audio, and text message in a carrier's like image, video, and audio. Proposed method uses the secret information as a text message which is embedded in a color image. The existing methods hide the information using constant bit length in integer wavelet coefficients. This(More)
The applications of digital images are increasing exponentially in the field of image processing. Many image editing tools and computer applications are available to manipulate the images. Hence image tampering has been increasingly easy to perform. It is very difficult to say whether an image is original or a manipulated version by just looking it. As a(More)
This paper introduces a new universal steganalysis framework. The required image features are extracted based on the generalized autoregressive conditional heteroskedasticity (GARCH) model and higher-order statistics of the images. The GARCH features are extracted from non-approximate wavelet coefficients. Besides, the second and third order statistics are(More)