scholarly journals Joint Lossless Image Compression and Encryption Scheme Based on CALIC and Hyperchaotic System

Entropy ◽  
2021 ◽  
Vol 23 (8) ◽  
pp. 1096
Author(s):  
Miao Zhang ◽  
Xiaojun Tong ◽  
Zhu Wang ◽  
Penghui Chen
Keyword(s):  
Image Compression ◽  
Lossless Compression ◽  
Image Transmission ◽  
Single Step ◽  
Hyperchaotic System ◽  
Encryption Scheme ◽  
Lossless Image Compression ◽  
Compression Performance ◽  
Final Prediction Error ◽  
Image Compression And Encryption

For efficiency and security of image transmission and storage, the joint image compression and encryption method that performs compression and encryption in a single step is a promising solution due to better security. Moreover, on some important occasions, it is necessary to save images in high quality by lossless compression. Thus, a joint lossless image compression and encryption scheme based on a context-based adaptive lossless image codec (CALIC) and hyperchaotic system is proposed to achieve lossless image encryption and compression simultaneously. Making use of the characteristics of CALIC, four encryption locations are designed to realize joint image compression and encryption: encryption for the predicted values of pixels based on gradient-adjusted prediction (GAP), encryption for the final prediction error, encryption for two lines of pixel values needed by prediction mode and encryption for the entropy coding file. Moreover, a new four-dimensional hyperchaotic system and plaintext-related encryption based on table lookup are all used to enhance the security. The security tests show information entropy, correlation and key sensitivity of the proposed methods reach 7.997, 0.01 and 0.4998, respectively. This indicates that the proposed methods have good security. Meanwhile, compared to original CALIC without security, the proposed methods increase the security and reduce the compression ratio by only 6.3%. The test results indicate that the proposed methods have high security and good lossless compression performance.

Range-gated laser image compression and encryption scheme based on bidirectional diffusion

2021 ◽  
Vol 17 (10) ◽  
pp. 630-635
Author(s):  
Jinqing Li ◽  
Yaohui Sheng ◽  
Xiaoqiang Di ◽  
Yining Mu
Keyword(s):  
Image Compression ◽  
Encryption Scheme ◽  
Image Compression And Encryption

A New Compression Method for Bayer Color Filter Array Images

2013 ◽  
Vol 321-324 ◽  
pp. 1219-1224
Author(s):  
Bao Tang Shan ◽  
Fa Nian Wang ◽  
Juan Gao
Keyword(s):  
Image Compression ◽  
High Performance ◽  
Lossless Compression ◽  
Color Filter ◽  
Test Results ◽  
Compression Method ◽  
Sampling System ◽  
Multiple Channel ◽  
Compression Performance ◽  
Filter Array

In order to improve the compression performance of Bayer CFA images exposed continuously, a new high performance remainder set near-lossless compression method is presented. Based on channel-separated-filtering, several typical Bayer CFA image compression methods are compared with the proposed remainder set algorithm. It is proved that the remainder set algorithm has not only the better compression performance, i.e., the lower bits per pixel (average about 2.16bpp), but also the better reconstructed CFA image PSNR (average about 52.31dB). Finally, the proposed method is employed in a multiple channel CMOS image sampling system and some test results are given.

scholarly journals Near-lossless image compression using an improved edge adaptive hierarchical interpolation

2020 ◽  
Vol 20 (3) ◽  
pp. 1576
Author(s):  
Yenewondim Biadgie Sinshahw
Keyword(s):  
Image Compression ◽  
Lossless Compression ◽  
Medical Data ◽  
Linear Functions ◽  
Interpolation Algorithm ◽  
Lossless Image Compression ◽  
Long Run ◽  
Remote Storage ◽  
Long Time ◽  
Local Window

<span>In medical and scientific imaging, lossless image compression is recommended because the loss of minor details subject to medical diagnosis can lead to wrong diagniosis. On the other hand, lossy compression of medical images is required in the long run because a huge quantity of medical data needs remote storage. This, in turn, takes long time to search and transfer an image. Instead of thinking lossless or lossy image compression methods, near-loss image compression mehod can be used to compromise the two conflicting requirements. In the previous work, an edge adaptive hierarchical interpolation (EAHINT) was proposed for resolution scalable lossless compression of images. In this paper, it was enhanced for scalable near-less image compression. The interpolator of this arlgorithm swiches among one-directional, multi-directional and non-directional linear interpolators adaptively based on the strength of the edge in a 3x3 local casual context of the current pixel being predicted. The strength of the edge in local window was estimated using the variance of the the pixels in the local window. Although the actual predictors are still linear functions, the switching mechanism tried to deal with non-linear structures like edges. Simulation results demonstrate that the improved interpolation algorithm has better compression ratio over the the exsisting the original EAHINT algorithm and JPEG-Ls image compression standard. </span>

Image compression and encryption based on integer wavelet transform and hybrid hyperchaotic system

2021 ◽  
Vol 17 (3) ◽  
pp. 219-234
Author(s):  
Rajamandrapu Srinivas ◽  
N. Mayur
Keyword(s):  
Wavelet Transform ◽  
Image Compression ◽  
Fractional Order ◽  
Cellular Neural Network ◽  
Hyperchaotic System ◽  
Integer Wavelet Transform ◽  
Pseudorandom Sequences ◽  
Effective Performance ◽  
Integer Wavelet ◽  
Image Compression And Encryption

Compression and encryption of images are emerging as recent topics in the area of research to improve the performance of data security. A joint lossless image compression and encryption algorithm based on Integer Wavelet Transform (IWT) and the Hybrid Hyperchaotic system is proposed to enhance the security of data transmission. Initially, IWT is used to compress the digital images and then the encryption is accomplished using the Hybrid Hyperchaotic system. A Hybrid Hyperchaotic system; Fractional Order Hyperchaotic Cellular Neural Network (FOHCNN) and Fractional Order Four-Dimensional Modified Chua’s Circuit (FOFDMCC) is used to generate the pseudorandom sequences. The pixel substitution and scrambling are realized simultaneously using Global Bit Scrambling (GBS) that improves the cipher unpredictability and efficiency. In this study, Deoxyribonucleic Acid (DNA) sequence is adopted instead of a binary operation, which provides high resistance to the cipher image against crop attack and salt-and-pepper noise. It was observed from the simulation outcome that the proposed Hybrid Hyperchaotic system with IWT demonstrated more effective performance in image compression and encryption compared with the existing models in terms of parameters such as unified averaged changed intensity, a number of changing pixels rate, and correlation coefficient.

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