Fast Medical Image Security Using Color Channel Encryption

Abstract

Evolution of digital Health-care Information System established Medical Image Security as the new contemporary research area. Most of the researchers used either image watermarking or image encryption to address medical image security. However, very few proposals focused on both issues. This paper has implemented a Fast Medial Image Security algorithm for color images that uses both watermarking and encryption of each color channel. The proposed method starts with embedding of a smoothened key image (K) and patient information over the original image (I) to generate a watermarked image (W). Then, each color channel of the watermarked image (W) is encrypted separately to produce an encrypted image (E) using the same smoothened key image (K). This image can be transmitted over the public network and the original image (I) can be achieved using decryption algorithm followed by de-watermarking using the same key image (K) at the receiver. Qualitative and quantitative results of the proposed method show good performance when compared with the existing method with high Mean, PSNR and Entropy.

Medical image encryption techniques: a technical survey and potential challenges

“…Furthermore, copyright protection is provided via watermarking, and incorporating patient information saves space. Furthermore, the proposed approach is impervious to key guessing attacks [29]. Improved Henon maps, integer wavelet transform (IWT), bit-plane decomposition, and deoxyribonucleic acid (DNA) sequence operations are combined to develop a hybrid domain picture encryption approach.…”

A Novel Random Error Approximate Adder-Based Lightweight Medical Image Encryption Scheme for Secure Remote Monitoring of Health Data

“…Venkateswarlu [9] has implemented a fast medical image security algorithm for color medical images using both watermarking and encryption schemes for better security in each color channel. In this scheme, the patient's information, along with the smoothened key image, is embedded into the image color channels to produce a watermarked image.…”

“…ER � number of erroneous results total number of results , (9) where ED i is the error distance which equals to the absolute difference of i th actual and i th approximate result. MED is the mean error distance and NMED is the normalized mean error distance.…”

“…is triggered and motivated the researchers to develop various robust encryption schemes [2,3,[7][8][9][10][11][12][13][14][15][16][17][18][19].…”

“…Recent research uses efficient techniques such as watermarking [7][8][9][10], Arnold mapping [11,12], chaotic mapping [13,14], permutation [14,15], compression [15], scrambling [16], genetic algorithm [2], swarm optimization [17], elliptic curve cryptography [18], and neural networks [19] individually or as a combination for hiding the medical information or authenticating the information. Researchers developed their encryption schemes and validated for different modalities of medical images to defy against attacks.…”