Eigenvalue Steganography based on eigen characteristics of quantized DCT matrices

Behbahani, Yasser M.; Ghayour, Parham; Farzaneh, Amir Hossein

doi:10.1109/icimu.2011.6122769

Cited by 6 publications

(1 citation statement)

References 3 publications

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“…In this proposed paper only text file hiding has done under the cover image. Where i and j are rows and columns of image and V is the output image The hiding capacity is not much because the block size is fixed like 8*8 and 16*16 (22). The Stego file is created by applying the inverse discrete cosine transform.…”

Section: B Pixel Value Differencing Methods (Pvd)mentioning

confidence: 99%

Applications of Difital Image Stegnographic Techniques in Medical Image Analysis

Nalini Bodasingi

2023

IJRITCC

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In this digitized world maintaining the security of the secret information is a challenging task. While, sending secret information through the internet draws the attention of hackers. The highly authenticated information can be hidden by using Steganography. Image processing plays a very important role in such stenographic techniques. The advantage of stenography can be enhanced to medical images and creation of database for a particular patient under one authentication with security. Steganography techniques used in bio-medical field to hide the person medical data like prescription, X-ray, Iris, MRI, CT scan images behind a single cover media. In this paper the embedding Schemes to store complete medical data under one authentication is done by using Spatial and transform domains. The performance of the techniques is compared and the best method to hide medical information by using steganographic techniques with high PSNR, less MSE and high SSIM is identified for different modalities. Implementation of steganography in bio-medical field yields high imperceptibility and embedding capacity

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Section: B Pixel Value Differencing Methods (Pvd)mentioning

confidence: 99%