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

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.

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.

Implementation of File to Image Encryption on C++

Image steganography using chaotic map

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

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

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

Image Encryption using Chaos Techniques

Image Steganography using chaos encryption and arnold's cat map

Chaotic image encryption based on Contourlet transformation

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)

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

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