
A novel Image Security Protection Method Based on DCT Compression Theory and Hyper-chaotic Mapping
Author(s) -
Xianglian Xue,
Haiyan Jin
Publication year - 2021
Publication title -
journal of physics. conference series
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.21
H-Index - 85
eISSN - 1742-6596
pISSN - 1742-6588
DOI - 10.1088/1742-6596/2066/1/012011
Subject(s) - discrete cosine transform , quantization (signal processing) , pixel , trellis quantization , chaotic , inverse , transformation (genetics) , image compression , encryption , data compression , algorithm , computer vision , image (mathematics) , computer science , mathematics , artificial intelligence , image processing , geometry , biochemistry , chemistry , gene , operating system
This paper studies the current situation of image compression encryption and analyzes the influence of low frequency (DC coefficient) and high frequency (AC coefficient) on image structure in DCT transformation. Based on this, a novel image security protection method based on DCT compression theory and hyper-chaotic mapping is proposed. First, the position of the pixel of the original image is disturbed, and converts the image from spatial domain into frequency domain by the two-dimensional DCT transformation and quantization. Second, change the pixel values by modifying the values of the sign bit of AC coefficient and DC coefficient. At last, the encrypted image is obtained by carrying out inverse quantization, inverse transformation and reverse operation by bit.