Wavelet Packet Decomposition of an Image
Perform wavelet packet decomposition on an image and extract coefficients from each decomposition level
Explore MATLAB source code curated for "图像" with clean implementations, documentation, and examples.
Perform wavelet packet decomposition on an image and extract coefficients from each decomposition level
Arnold image scrambling MATLAB code - Implementation of Arnold transformation for pixel position permutation in digital images with configurable periods and scrambling intensity control.
MATLAB program for image digital watermarking embedding and extraction using Discrete Wavelet Transform (DWT), including watermark image and original image files, with robust frequency-domain processing capabilities.
Methods for calculating one-dimensional entropy of images. Read in color images, apply the image information entropy formula, design algorithms to implement entropy calculation, including preprocessing techniques and parameter optimization for enhanced accuracy.
K-means clustering method provides effective solutions for various image clustering and segmentation challenges, offering valuable implementation insights with code examples to enhance your image analysis capabilities
Implementation of frequency-tuned saliency algorithm to calculate image saliency values and extract salient regions based on these computed values.
Implementation of histogram equalization for RGB images including source code and sample images using MATLAB, featuring algorithm explanation and key function descriptions
RSIHE Algorithm (Recursive Sub-Image Histogram Equalization) - An advanced image enhancement technique that recursively divides images into 2^r equal-area sub-images for localized histogram equalization. This package includes MATLAB source code, research paper, and sample input images with detailed implementation of the recursive partitioning and adaptive enhancement process.
Image processing through wavelet transform decomposition and reconstruction for enhanced noise removal, involving multi-resolution analysis and thresholding techniques
MATLAB implementation of various functions and graphical representations in extreme value theory, featuring distribution fitting, probability plots, and risk estimation algorithms.