title: A novel edge based embedding in medical images based on unique key generated using sudoku puzzle design.
abstract: The field of telemedicine has gained immense momentum, owing to the need for transmitting patients' information securely. This paper puts forth a unique method for embedding data in medical images. It is based on edge based embedding and XOR coding. The algorithm proposes a novel key generation technique by utilizing the design of a sudoku puzzle to enhance the security of the transmitted message. The edge blocks of the cover image alone, are utilized to embed the payloads. The least significant bit of the pixel values are changed by XOR coding depending on the data to be embedded and the key generated. Hence the distortion in the stego image is minimized and the information is retrieved accurately. Data is embedded in the RGB planes of the cover image, thus increasing its embedding capacity. Several measures including peak signal noise ratio (PSNR), mean square error (MSE), universal image quality index (UIQI) and correlation coefficient (R) are the image quality measures that have been used to analyze the quality of the stego image. It is evident from the results that the proposed technique outperforms the former methodologies.
authors.affiliation: Department of Information and Communication Technology, School of Computing, SASTRA University, Thirumalaisamudram, Thanjavur, 613401 India.
authors.forename: B
authors.initials: B
authors.lastname: Santhi
authors.affiliation: Department of Information and Communication Technology, School of Computing, SASTRA University, Thirumalaisamudram, Thanjavur, 613401 India.
authors.forename: B
authors.initials: B
authors.lastname: Dheeptha
keywords: Edge based embedding; Least significant bit; Stego image; Telemedicine; XOR coding