Explore MATLAB source code curated for "图像" with clean implementations, documentation, and examples.
This method implements steganography by embedding a secret image into a host image using the Least Significant Bit (LSB) substitution algorithm, which modifies the least significant bits of pixel values to hide information with minimal visual impact.
Applying ANORLD transform to images - during watermark embedding, preprocessing the watermark image with scrambling operations can effectively resist cropping attacks, with implementation involving Arnold cat map algorithms for pixel position permutation
Feature Extraction: Implementation of texture and shape feature extraction from marked image regions with comprehensive annotations
Research and Implementation of Content Authentication Semi-Fragile Watermarking Algorithm. This program implements image semi-fragile watermarking using a DCT-based approach, featuring adaptive embedding strategies and tamper detection mechanisms. Particularly suitable for researchers studying semi-fragile watermarking techniques.
A handwritten digit recognition system with test image included for evaluation
Perform multi-level wavelet decomposition on images b1 and b2 using the wavedec2() function with 'db1' wavelet at level 3, followed by image fusion implementation.
This experiment requires developing a program to calculate root mean square error (RMSE) and peak signal-to-noise ratio (PSNR) for compressed-decompressed images. The program serves as a universal solution that generates visualized results while utilizing fidelity criteria algorithms to quantify visual information loss characteristics.
Two main functionalities: 1) SIFT feature matching for image processing 2) Visualization of matching results with epipolar lines. Implemented in MATLAB with C language integration for enhanced performance.
The LBP function computes local binary pattern images or LBP histograms from input images, providing texture features for computer vision applications with configurable neighborhood parameters.
Two image denoising approaches utilizing non-subsampled transform demonstrate superior performance compared to contourlet transform methods