scholarly journals Joint image compression and encryption method

Author(s):  
Jiaojiao Xie ◽  
Xiaojun Tong ◽  
Yimao Zhao
2018 ◽  
Vol 2018 ◽  
pp. 1-10 ◽  
Author(s):  
Huiqing Huang ◽  
Shouzhi Yang

A new image compression-encryption method based on compressive sensing and double random-phase encoding is proposed, which can complete image compression and encryption simultaneously. We utilize the hyperchaotic system to generate a measurement matrix and two random-phase masks first. Then the original image is measured by measurement matrix to accomplish encryption and compression at the same time, next the compressed image is reencrypted by the double random-phase encoding technique with the two random-phase masks, and lastly the resulting image is confused and diffused by using hyperchaotic system simultaneously. Some numerical simulations verify the validity and the reliability of the proposed algorithm.


2021 ◽  
Vol 17 (10) ◽  
pp. 630-635
Author(s):  
Jinqing Li ◽  
Yaohui Sheng ◽  
Xiaoqiang Di ◽  
Yining Mu

Author(s):  
Hsuan T. Chang ◽  
Chih-Chung Hsu

This chapter introduces a pioneer concept in which multiple images are simultaneously considered in the compression and secured distribution frameworks. We have proposed the so-called fractal mating coding scheme to successfully implement the joint image compression and encryption concept through a novel design in the domain pool construction. With the exploration of the intra- and inter-image similarity among multiple images, not only the coding performance can be improved, but also the secured image distribution purpose can be achieved. The authors hope that the revealed fractal-based ideas in this chapter will provide a different perspective for the image compression and distribution framework.


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