Image scrambling encryption algorithm of pixel bit based on chaos map

By G. Ye. Pattern Recognition Letters, 2010

318 citations recorded by the source corpus.

Subfields: Computational Theory and Mathematics, Computer Vision and Pattern Recognition

View Paper: https://www.semanticscholar.org/paper/b722ad1618d8572ca20e32dca34589fa8b18b022

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Computational Theory and Mathematics

1. Gelan Yang
2. Yue Wu
3. C. L. Philip Chen
4. Zhongyun Hua
5. Huixia Jin
6. Yicong Zhou
7. Joseph P. Noonan

In Computer Vision and Pattern Recognition

1. Zhongyun Hua
2. Yicong Zhou
3. C. L. Philip Chen
4. Gelan Yang
5. Yue Wu
6. Huixia Jin
7. Joseph P. Noonan

Citations in the corpus

• A new 1D chaotic system for image encryption (2014, background): “However, multiple parameters increase the difficulty of their hardware/software implementations and computation complexity [27].”
• Image encryption using 2D Logistic-adjusted-Sine map (2016, background): “However, they also have some weaknesses, such as complex performance analysis and high implementation costs [44].”
• Image encryption using the two-dimensional logistic chaotic map (2012, methodology): “Since 1997, Fridrich applied chaos to encryption of digital images for the first time [15], chaos-based image encryption methods are researched for years [13, 16, 17, 18, 19, 20, 21, 22].”