Explore MATLAB source code curated for "信息隐藏" with clean implementations, documentation, and examples.
Source code for the "Information Hiding Laboratory Tutorial" with detailed implementation examples and algorithm explanations, designed to assist learners in understanding practical data concealment techniques.
Description on MATLAB implementation for information hiding in halftone-encoded computer-generated holograms: The main algorithm implementation is CGHwatermark; phase retrieval function is phaseSL; complex wavefront recording function with known amplitude and phase is Hologen; halftone encoding function is AMhalftone; watermark extraction directly uses MATLAB's built-in FFT2 function. The main program's function call sequence is: Input host information and watermark → phaseSL → Hologen → AMhalftone (embedding completion) → FFT2 (watermark extraction). Results are saved in holo&mark folder.
MATLAB implementation of the LSB information hiding algorithm capable of accurate data embedding and extraction with practical code examples
RS Analysis Method for LSB (Least Significant Bit) Steganography in Information Hiding, featuring comprehensive annotations and code-related implementation descriptions.
This implementation is based on the MPEG source code provided by University of California, featuring an efficient zigzag transformation using 8x8 block partitioning. The algorithm demonstrates excellent performance with clean code structure, making it one of the commonly used methods in information hiding applications. The implementation by Fan Tiesheng from Liaoning University Information School utilizes block-based processing for optimal DCT coefficient reordering. Contact: fts0@163.com
Implement image scrambling and descrambling using the Fibonacci transformation method, an efficient technique commonly employed in information hiding applications. The function call is f=fibonacci_t(I,r,s) where parameters are: I=input image for scrambling, r=scrambling key, s=0 for scrambling, s=1 for descrambling. This method utilizes Fibonacci sequence properties to rearrange pixel positions through modular arithmetic operations.
Implementation of the Jsteg algorithm for concealing information within JPEG images through subtle modifications to DCT coefficients.
Halftone image information hiding using computational holography, implemented in MATLAB for digital watermarking applications. This implementation demonstrates encoding and decoding processes for embedding identification data into images using holographic techniques.
Exploring Information Hiding Techniques with Focus on LSB Algorithm Implementation and Performance Analysis
An algorithm for information hiding implemented in MATLAB, including a suite of image processing functions for various attacks and transformations: mycompress.m for JPEG lossy compression, mycrop.m for image cropping, myhighpass.m for high-pass filtering, mylowpass.m for low-pass filtering, mynoise.m for Gaussian and salt-and-pepper noise addition, myresize.m for image scaling, myrotate.m for image rotation, mywiener.m for Wiener filtering, and myattack.m as a comprehensive collection of all the above attacks.