Local Shannon entropy measure with statistical tests for image randomness
TLDR
The proposed local Shannon entropy measure overcomes several weaknesses of the conventional global Shannon entropyMeasure, including unfair randomness comparisons between images of different sizes, failure to discern image randomness before and after image shuffling, and possible inaccurate scores for synthesized images.About:
This article is published in Information Sciences.The article was published on 2013-02-01 and is currently open access. It has received 476 citations till now. The article focuses on the topics: Rényi entropy & Shannon's source coding theorem.read more
Citations
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2D Sine Logistic modulation map for image encryption
TL;DR: A new two-dimensional Sine Logistic modulation map (2D-SLMM) which is derived from the Logistic and Sine maps is introduced which has the wider chaotic range, better ergodicity, hyperchaotic property and relatively low implementation cost.
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A symmetric image encryption algorithm based on mixed linear–nonlinear coupled map lattice
Ying-Qian Zhang,Xingyuan Wang +1 more
TL;DR: In the proposed image encryption, this spatiotemporal chaotic system has more outstanding cryptography features in dynamics than the logistic map or the system of coupled map lattices does, and the strategy of bit-level pixel permutation is employed.
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Image encryption using 2D Logistic-adjusted-Sine map
Zhongyun Hua,Yicong Zhou +1 more
TL;DR: A two-dimensional Logistic-adjusted-Sine map (2D-LASM) is proposed that has better ergodicity and unpredictability, and a wider chaotic range than many existing chaotic maps.
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2D Logistic-Sine-coupling map for image encryption
TL;DR: A two-dimensional (2D) Logistic-Sine-coupling map (LSCM) is presented and performance estimations demonstrate that it has better ergodicity, more complex behavior and larger chaotic range than several newly developed 2D chaotic maps.
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Fast image encryption algorithm based on parallel computing system
TL;DR: This paper proposes a parallel diffusion method that ensures the parallelism of diffusion to the utmost extent and achieves a qualitative improvement in efficiency over traditional streaming diffusion methods.
References
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