Lena Image Corrupted with Gaussian Noise
Generation of a Gaussian noise-corrupted Lena image using MATLAB software, followed by processing with T3, T5, Gaussian filtering, and median filtering techniques
Professional MATLAB source code with comprehensive documentation and examples
Generation of a Gaussian noise-corrupted Lena image using MATLAB software, followed by processing with T3, T5, Gaussian filtering, and median filtering techniques
Fast segmentation of natural images, SAR images, and texture images using FCM algorithm with feature mapping via 1D and 2D histograms to achieve efficient image partitioning. Includes result screenshots to demonstrate segmentation performance.
License Plate Preprocessing (Image Segmentation) Followed by Character Recognition
This experiment implements image scaling using bilinear interpolation technology. The method calculates output pixel values as weighted averages from 2×2 neighborhood sampling points in the input image, performing interpolation in both horizontal and
Original MATLAB implementation for image registration supporting multiple formats including JPEG, PNG, and BMP with comprehensive code descriptions
This MATLAB implementation showcases a fast global minimization algorithm based on active contour models, providing valuable insights into modern image processing techniques through practical code demonstration.
This method is used for image registration, where corner extraction is followed by feature matching through correlation coefficients
This MATLAB code implements quadtree-based image partitioning using a recursive approach for efficient image segmentation and processing.
This is a MATLAB program for SURF feature matching, including examples and test images for reference, with detailed code implementation and algorithm explanations.
Read AVI video files and perform frame difference calculations to detect moving objects, including code implementation for pixel-wise comparison and threshold-based segmentation
This MATLAB-based program implements the extraction of various parameter features essential for histogram analysis, including mean, variance, skewness, kurtosis, energy, and entropy. The code utilizes built-in statistical functions and custom calcula
In computer vision and image analysis, the Harris-affine region detector operates as a feature detection method. Feature detection serves as a preprocessing step for algorithms requiring identification of characteristic points or interest points, oft
Image processing integrated software developed using MATLAB. Core functionalities include: opening, displaying, and saving images (grayscale, RGB, etc.); histogram analysis and curve fitting; brightness distribution curves (blur processing); histogra
Histogram Optimization-Based Image Dehazing Technology with Algorithm Implementation Details
Image Enhancement Using Wavelet Transform: A Non-Subsampled Wavelet Decomposition Approach for Processing High-Frequency Coefficients and Reconstruction
Small image denoising program featuring wavelet-based thresholding. Key algorithm steps include: th=sigma*sqrt(2*log10(L*T)) for threshold calculation, ch=c(1,num(4-i,1):num(4-i,3)+step(4-i)-1) for high-frequency coefficient extraction, and implement
This MATLAB-implemented corner detection program extracts pixel coordinates of corners in images for camera calibration applications.
Complete source code for watermark embedding and various attack simulations, featuring detailed technical documentation with comprehensive algorithm explanations and function descriptions
This method for determining motion blur direction based on directional differentiation can be referenced from Zhang Chaoyang's research paper "Study on Point Spread Function of Linear Motion Blur Images"
Dyadic wavelet multilevel decomposition for multi-scale analysis and edge detection of images, with satisfactory performance achieved through pyramid decomposition algorithms and modulus maxima detection.