Biblio

Internet of Medical Things (IoMT) is the connection between medical devices and information systems to share, collect, process, store, and integrate patient and health data using network technologies. X-Rays, MR, MRI, and CT scans are the most frequently used patient medical image data. These images usually include patient information in one of the corners of the image. In this research work, to protect patient information, a new robust and secure watermarking algorithm developed for a selected region of interest (ROI) of medical images. First ROI selected from the medical image, then selected part divided equal blocks and applied Discrete Cosine Transformation (DCT) algorithm to embed a watermark into the selected coefficients. Several geometric and removal attacks are applied to the watermarked multimedia element such as lossy image compression, the addition of Gaussian noise, denoising, filtering, median filtering, sharpening, contrast enhancement, JPEG compression, and rotation. Experimental results show very promising results in PSNR and similarity ratio (SR) values after blocked DCT (B-DCT) based embedding algorithm against the Discrete Wavelet Transformation (DWT), Least Significant Bits (LSB) and DCT algorithms.

This paper is nominated for an image protection scheme in the area of government sectors based on discrete cosine transformation with digital watermarking scheme. A cover image has broken down into 8 × 8 non overlapped blocks and transformed from spatial domain into frequency domain. Apply DCT version II of the DCT family to each sub block of the original image. Then embed the watermarking image into the sub blocks. Apply IDCT of version II to send the image through communication channel with watermarked image. To recover the watermarked image, apply DCT and watermarking formula to the sub blocks. The experimental results show that the proposed watermarking procedure gives high security and watermarked image retrieved successfully.