Saeed Sarreshtedari

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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)
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)
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)
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)
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 one-third LSB embedding reduces the probability of change per pixel to one-third without sacrificing the embedding capacity.(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)
In this paper, an unequal error protection (UEP)-based scheme is presented to generate tamper-proof images, in which the lost content of the original image is recoverable despite the malicious tampering. For this purpose, a representation of the original image is embedded into itself, after being protected by the proper channel coding. Since better(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)
This paper introduces an efficient scheme to image steganography by introducing the hidden message (payload) insertion in spatial domain and transforming the stego-image to compressed domain. We apply a recently-proposed LSB method in order to obtain better statistical behavior of the stego-message and subsequently, the obtained stego-image is transformed(More)