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A selective compression-encryption of images based on SPIHT coding and Chirikov Standard Map
- Source :
- Signal Processing. 131:514-526
- Publication Year :
- 2017
- Publisher :
- Elsevier BV, 2017.
-
Abstract
- In this paper, we propose a partial compression-encryption of images using chaotic system and Discrete Wavelet Transform (DWT) combined with Set Partitioning in Hierarchical Trees (SPIHT). The proposed cryptosystem adopts three stages for confusion and diffusion which are well integrated into the compression chain. The chaotic system used in this approach is Chirikov Standard Map. Some cryptographic tests and metrics are applied to measure the degree of security and analyze the performance of the partial compression-encryption scheme. The evaluation and simulation analysis indicate that our proposal possesses excellent statistical and cryptographic properties; it is extremely sensitive to the small change in secret key, resists against common cryptanalytic attacks, has a high speed and provides high picture quality of the reconstructed image. A compressionencryption system of image based on SPIHT and Chirikov map is proposed.Encryption scheme is designed to operate with SPIHT without degrade its performance.Our work is supported on many mathematical tools and chaotic systems.The proposal scheme can resist against exhaustive key and cryptanalytic attacks.A high speed and very secure system with very low computational complexity.
- Subjects :
- Discrete wavelet transform
Theoretical computer science
business.industry
Data_CODINGANDINFORMATIONTHEORY
02 engineering and technology
Standard map
Encryption
01 natural sciences
Set partitioning in hierarchical trees
Control and Systems Engineering
0103 physical sciences
Signal Processing
0202 electrical engineering, electronic engineering, information engineering
Key (cryptography)
Cryptosystem
020201 artificial intelligence & image processing
Computer Vision and Pattern Recognition
Confusion and diffusion
Electrical and Electronic Engineering
business
010301 acoustics
Algorithm
Software
Mathematics
Image compression
Subjects
Details
- ISSN :
- 01651684
- Volume :
- 131
- Database :
- OpenAIRE
- Journal :
- Signal Processing
- Accession number :
- edsair.doi...........54da364790fe78021db0814665ed77e7