A new image encryption algorithm based on non-adjacent coupled map lattices

By Yingqian Zhang, Xing-yuan Wang. Applied Soft Computing, 2015

345 citations recorded by the source corpus.

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

View Paper: https://www.semanticscholar.org/paper/fd3b0eb3b59afb8383d163df3fdd445498a5ddd0

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. Chunhua Wang
2. Hua Chen
3. Yueping Li

In Computer Vision and Pattern Recognition

1. Chunhua Wang
2. Hua Chen
3. Yueping Li

Citations in the corpus

• A hyper-chaos-based image encryption algorithm using pixel-level permutation and bit-level permutation (2017, background): “In [30], a new bit-level encryption algorithm based on the spatiotemporal non-adjacent coupled map lattices which makes it possible for any bit in pixels to break the limit of its bitplane without extra space in permutation process.”