Medical Image Compression and Encryption Using Adaptive Arithmetic Coding, Quantization Technique and RSA in DWT Domain

Abstract

Currently, medical images represent basis of clinical diagnosis and source of telehealth and teleconsultation processes. Exchange of these images can be subject to several challenges, such as transmission bandwidth scarcity, time delivery, fraud, tampering, modifying, privacy, and more. This paper will introduce an algorithm consisting of a combination of compression and encryption techniques to meet such challenges in medical images field. First, compression is done by applying the Adaptive Arithmetic Coding (AAC) technique and controllable frequency quantization process in Discrete Wavelet Transform. After that, encryption process is applied using RSA and SHA-256 algorithms to encrypt the compressed file and to create digital signature. Performance analysis has shown that the algorithm can produce high compression ratio with good image quality, whereas range of PSNR near 45 dB and SIM is 0.88 as average values. For the security analysis, we have adopted data encryption and digital signature to guarantee the main data security services including integrity, authentication, and confidentiality, making the algorithm secure against passive or active attacks.