An adaptive JPEG compression-encryption system using optimized local quantization matrices
Rimah Y. Bani Youniss, Moh’d Belal Al-Zoubi, Arafat Awajan · 2017 International Conference on Electrical and Computing Technologies and Applications (ICECTA) · 2017
The JPEG compression techniques are known as a standardlossy compression techniques for images. In this paper, an adaptive approach is proposed where some changes in the quantization stage are made. The proposed approach mainly changes on the quantization matrix, according to the context of each image. Moreover, the adaptive approach has been developed to work as an encryption system that enables users to restore the original images after decompressing them. Compared to the standard JPEG quantization matrix, the proposed approach introduces an efficient compression system that decreases error rate in several tested scenarios, And efficient encryption system has been obtained as well.