Abstract
Steganography is a tool which allows the data for transmission by concealing secret information in a tremendously growing network. In this paper, a novel technique quick response method (QRM) is proposed for the purpose of encryption and decryption. Existing system uses side match vector quantization (SMVQ) technique which has some challenges such as security issues and performance issues. To handle the security and performance issues, the proposed system uses two methods, namely, quick response method and shifting method. In the proposed system, encoding part calculates the performance for capacity, PSNR (peak signal-to-noise ratio), MSE (mean square error), and SSIM (structural similarity index method), and the decoding part calculates the performance of MSE (mean square error) and PSNR (peak signal-to-noise ratio). The shifting method is used to increase the data hiding capacity. In this system, the encryption part embeds the secret image using steganography and the decryption part extracts the original image. By analyzing and comparing the proposed system with the existing system, it is proved that the system proposed was much better than the existing systems.
Highlights
If watermarked image is used for image authentication, with the improved histogram-based reversible data hiding scheme which is based on prediction and sorting, the original image can be reverted before the embedding
The encoding process of the proposed system consists of the following subprocesses: (i) input image, (ii) filtered image, (iii) histogram shifting, (iv) embedding, and (v) stego image
A novel data hiding technique is proposed to improve the security of the proposed system
Summary
Data hiding process is used to embed the data into digital media It delivers large volume for secret information hiding which results into stego image imperceptible to human vision. Data hiding such as image and text that permits the cover image to be improved after the embedded message is mined from the marked image. Medical images are transferred from one hospital to another hospital for review by physicians across the globe Such medical image data has to be stored in the database for future reference of patients. These medical images are compressed and stored before being transmitted over the Internet. If watermarked image is used for image authentication, with the improved histogram-based reversible data hiding scheme which is based on prediction and sorting, the original image can be reverted before the embedding
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