1. A selective compression-encryption of images based on SPIHT coding and Chirikov Standard Map
- Author
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Safya Belghith, Rhouma Rhouma, and Mimoun Hamdi
- 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 - 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.
- Published
- 2017