Robust watermarking algorithm for medical images based on accelerated‐KAZE discrete cosine transform

Abstract

With the continuous progress and development in the field of Internet technology, the area of medical image processing has also developed along with it. Specially, digital watermarking technology plays an essential role in the field of medical image processing and greatly improves the security of medical image information. A medical image watermarking algorithm based on an accelerated‐KAZE discrete cosine transform (AKAZE‐DCT) is proposed to address the poor robustness of medical image watermarking algorithms to geometric attacks, which leads to low security of the information contained in medical images. First, the AKAZE‐DCT algorithm is used to extract the feature vector of the medical image and then combined with the perceptual hashing technique to obtain the feature sequence of the medical image; then, the watermarking image is encrypted with logistic chaos dislocation to get the encrypted watermarking image, which ensures the security of the watermarking information; finally, the watermarking is embedded and extracted with the zero‐watermarking technique. The experimental results show that the algorithm can effectively extract the watermark under conventional and geometric attacks, reflecting better robustness and invisibility, and has certain practicality in the medical field compared with other algorithms.

Region of Interest based digital watermarking model for watermarking of two medical images at a time

“…In this experiment, we have considered the cased of 'No Attack', 'Gaussian Noise', 'Histogram Equalization', 'Median Filter', 'Cropping', 'Salt & Pepper', 'Scaling', 'Rotation 15 0 ' and 'Rotation 45 0 . Among them 'Cropping', 'Scaling' and 'Rotation (15 0 & 45 0 )' are in the category of Geometric attacks whereas 'Gaussian Noise', 'Median Filter' and 'Salt & Pepper' are used to add noise signals [12]. The process of Histogram Equalization changes or adjusts the contrast of the images by auto modi cation of the histogram.…”

“…The logical key is used to extract the encrypted watermark in the process of watermark extraction. The watermark is a binary image and the model is a non-blind method [12]. Narima Zermi et.…”

A Robust and Secure Medical Image Watermarking Algorithm Based on Normalized DCT and Polar-coded UFMC Assisted NOMA Scheme for Telemedicine Applications

“…The digital watermarking techniques further improve the conventional encryption techniques. It can be considered a technology for hiding information because its invisibility not only hides the patient's data but also won't influence the physician's evaluation of the host image, enhancing the safety of the patient's privacy [1]. With watermarking, specific information called a watermark is added to the host image which can later be extracted to verify its authenticity [2].…”

Research on Medical Image Enhancement Method Based on Conditional Entropy Generative Adversarial Networks

“…It mainly includes the increasing awareness of patients' privacy protection, which leads to the difficulty of acquiring case image data. Multimodal data of diseases are characterized by large span and low density due to a wide variety of diseases and examination methods [16]. The large gap in the number of samples between different types of diseases that need to be identified leads to a decrease in the robustness of the system [17].…”