Discrete wavelet transform based image watermarking approach along with chaotic map based encryption of watermarks

Image encryption based on chaos maps in python

image encryption CLI tool supports encryption/decryption through AES, one-time pad, Arnold's cat map and also allows hiding of text through LSB steganography.

Image Encryption Using Arnold Cat Map, Logistic Map, and Selective Technique.

Digital watermarking is a crucial technique for embedding and extracting hidden information in digital media, including medical images. Image authentication plays a critical role in ensuring the integrity and authenticity of digital medical images, which are essential for accurate diagnosis, treatment planning, and research.

Arnold cat map is a chaotic map which is mainly used for the confusion of pixels.

Explore the intricacies of Arnold's Cat Map 🐱🗺️ in this repository. Dive into its chaotic mathematical transformation through code execution and visual representation. Designed for scholarly inquiry, the project facilitates empirical experiments with guided code and interactive examples.

A simple project made in OpenCV to showcase Arnold's Cat Map

Implementation of File to Image Encryption on C++

Image steganography using chaotic map

Simulation of chaotic image encryption, returning to its original state after a number of steps.

Image Encryption using Chaos Techniques

The Arnold cat map is the most commonly used map in chaos-based image encryption

Chaotic image encryption based on Contourlet transformation

Image Steganography using chaos encryption and arnold's cat map

Provides generator and related function of n-dimensional Arnold's cat map

A project exploring the mathematical properties, periodicity, and applications of Arnold’s Cat Map through theoretical analysis and Python simulation. Developed by Marouf Haider & Bahidj Nafaa National Higher School of Mathematics — 3rd Year Course: Algebra & Coding (2023/2024)

A robust, chaos-theoretic approach to image encryption leveraging Arnold Cat and Henon maps for secure, efficient multimedia protection in real-world applications.