1D PCA Image Compression and Decompression
MATLAB implementation of 1D PCA for image compression and decompression with configurable number of eigenvalues to observe compression results. Demonstrates image preprocessing steps and PCA workflow.
Explore MATLAB source code curated for "压缩" with clean implementations, documentation, and examples.
MATLAB implementation of 1D PCA for image compression and decompression with configurable number of eigenvalues to observe compression results. Demonstrates image preprocessing steps and PCA workflow.
This MATLAB-based program implements two-dimensional prediction and Lloyd-Max quantization compression for images, employing lossy compression techniques. The implementation includes sample images for demonstration purposes.
Image Compression and Reconstruction via Principal Component Analysis (PCA) in MATLAB with Code Implementation Details
This project demonstrates image matching between two pictures, with functionalities including image scaling, rotation, and grayscale transformation. The package contains image files for testing the implementation, which utilizes key MATLAB functions such as imresize for scaling, imrotate for rotation, and rgb2gray for grayscale conversion.
Wavelet Transform-Based Image Compression: Implementation of wavelet transform for image compression with algorithm explanations and key function descriptions
This article focuses on utilizing MATLAB's built-in wavelet packet functions to perform image decomposition, compression, and reconstruction, with detailed explanations of implementation techniques and algorithm workflows.
Implementation of a SLAM algorithm utilizing compressed extended Kalman filtering technique with custom trajectory and landmark configurations, featuring animated visualization of the localization process
This is a lifting algorithm based on wavelet analysis, designed for rapid data compression through efficient signal decomposition and reconstruction processes.
Implementation of Huffman coding algorithm for digital image compression and decompression processing, where the decompressed image is nearly identical to the source image with infinite peak signal-to-noise ratio
Classic algorithm for image coding using wavelet transform, featuring complete compression and decompression processes with executable demonstration code implementations.