Explore MATLAB source code curated for "图像" with clean implementations, documentation, and examples.
Brightness represents the luminance level of an image, while color refers to its chrominance, encompassing both hue and saturation. This code automatically adjusts these three parameters through histogram equalization and color space transformation algorithms to achieve optimal image enhancement.
Implementation of digital watermarking on images transformed using Contourlet decomposition with multi-resolution and directional representation capabilities
Blind image deconvolution restoration using a frequency-domain approach, with algorithms included in the compressed package
Two-dimensional image deconvolution incorporating multiple functionalities including Butterworth low-pass filtering, Gaussian filtering, and band-pass filtering for image restoration
Wavelet Transform-Based Image Compression: Implementation of wavelet transform for image compression with algorithm explanations and key function descriptions
MATLAB-based image binarization program featuring automatic threshold calculation using Otsu's method or other adaptive algorithms for grayscale image processing
A MATLAB implementation of Kalman filter-based tracking for video sequence frames, featuring state-space modeling and recursive prediction-correction algorithms for object motion trajectory analysis.
Image super-resolution reconstruction algorithms encompass various methods including interpolation, iterative back-projection, MAP (Maximum A Posteriori), POCS (Projection Onto Convex Sets), and registration-based approaches with implementation details
Simple image contour extraction implementation compiled in MATLAB environment with basic edge detection algorithms
Implementation of image sparse decomposition representation using the MP (Matching Pursuit) algorithm, fully debugged and operational. This resource provides reference code with detailed explanations of algorithm workflow, basis function selection, and coefficient calculation for learning purposes.