Hussein kadhim Bandar Maseer Alzubaidy

Based on Hilbert Random Secure Distribution, a novel data-hiding method for embeddingsecret information about the patient in a cover image MRI sample has been proposed. Least significantbit (LSB) and most significant bit (MSB) techniques are applied for the physical hiding. Medical imagesconfidentiality suffers from potential attacks and tracing by an unauthorized access. Technically, distributingthe secret text in a random way on the cover image is the core security function of the proposed model. Inorder to evaluate the performance of the proposed solution, three quality metrics: Peak signal to noise ratio(PSNR), Mean Square Error (MSE), percentage residual difference (PRD) and Structural Similarity Indexmeasure (SSIM) were computed and compared on ten MRI images. Experimental results showed significantresults in comparison with other models and reached average PSNR up to 61 db. Furthermore, the securityanalysis in case of 512 × 512 image samples show complex probability of distribution based on the Hilbertspace model.

In this survey, thirty models for steganography and visual encryption methods have been discussed to provide patients privacy protection. Image steganography techniques are classified into two domains: Spatial Domain and Frequency Domain. Spatial hiding models are divided into three groups: Least Significant Bit (LSB), Most Significant Bit (MSB) and other spatial hiding while frequency models are divided into two groups: Discrete Cosine Transform (DCT) and Discrete Wavelet Transform (DWT). Moreover, some models have been used to encrypt medical images. Technically, PSNR (Peak-Signal-to-Noise-Ratio) have been computed and compared to investigate and evaluate the model’s performance. As a result of this survey analysis, Frequency Hiding models for DCT (Discrete Cosine Transform) have shown the best average PSNR with 70.66 dB, compared to other approaches.