A Novel Chaotic Map-Based Noise-Resistant Image Encryption Scheme for Medical Images

In this work, the proposed method offers an image encryption technique that is robust against the impact of noise. When it comes to making a diagnosis, medical images are crucial. The images comprise sensitive diagnostic procedures such as X-rays, ultrasounds, brain scans, and MRIs of patients. Due to insecurities in the transmission and storage of these images in hospitals, unauthorized parties may get access to them. When it comes to safeguarding sensitive medical images from unauthorized parties, encryption is the effective approach. Bit-level encryption, as opposed to pixel-level encryption, was used, and it was performed by means of chaotic map-based encryption. The proposed work is divided into three parts: the first and third of which include spatial domain image encryption. The suggested approach utilizes frequency domain encryption using discrete wavelet transforms (DWT) as its core mechanism. This kind of encryption is known as a “sandwich encryption” because it employs two layers of spatial domain encryption and a third layer of frequency domain encryption. In addition, the proposed approach has analyzed the entropy statistics to determine how well the proposed system works. The cipher images generated by the proposed approach have much higher entropy values. Additionally, with the suggested encryption technique, both the unified average change intensity (UACI) and the number of pixels changed per second (NPCR) parameters are higher.