Professional MATLAB source code with comprehensive documentation and examples
Video watermarking MATLAB source code - this is the sixth archive package. Digital watermarking enthusiasts can download it for reference, featuring implementation examples of frequency-domain embedding and extraction algorithms.
This implementation of adaptive median filtering effectively removes noise from images, leveraging adaptive capabilities that outperform MATLAB's built-in median filter function for superior noise reduction performance.
Gridding is a computational method for interpolating data from an arbitrary 2D sampling pattern to a uniform grid, enabling rapid image reconstruction in MRI applications. This package includes MATLAB scripts and MEX function implementations for grid
Implementing 3D coordinate transformation techniques for accurate 3D image registration - essential methods and algorithm implementations for medical imaging and robotics applications
Motion-based video foreground segmentation implementation with MATLAB code, featuring frame differencing and background subtraction techniques
MATLAB programming implementations and technical insights for numerical optimization algorithms including Newton's Method, Steepest Descent, Quasi-Newton Methods, Golden Section Search, and One-Dimensional Search methods with code-related enhancement
Implementation of image fusion using Laplacian pyramid for infrared-visible image fusion and multi-focus image fusion with code-level algorithm explanations
Detect and remove image noise to enhance image clarity, implementing basic image denoising processing methods with practical code examples
A MATLAB-based motion detection program capable of identifying moving objects in video streams, implementing computer vision algorithms for real-time analysis and object tracking.
Standardizes all facial images using grayscale projection for left-right facial boundary detection, eye region approximation, and geometric scaling based on interpupillary distance to achieve normalized facial representations.
This program performs image normalization, allowing flexible input of original images while delivering high-quality results through optimized processing algorithms.
MATLAB programs based on wavelet transform applications, featuring image enhancement, image decomposition, image denoising, and image fusion with comprehensive code implementation details
This MATLAB implementation demonstrates the bilinear interpolation algorithm for spatial domain error concealment, featuring image restoration capabilities for damaged images through pixel value estimation from neighboring intact regions.
This code implements a dual-density dual-tree complex wavelet transform algorithm, providing effective solutions for image denoising and image compression. The source code demonstrates excellent implementation quality with robust signal processing ca
MATLAB-based image registration code for precise image alignment and processing applications, featuring key algorithms and implementation approaches
Comprehensive wavelet application examples document covering denoising, image compression, edge distortion, image fusion, wavelet packet decomposition and reconstruction, accompanied by detailed MATLAB implementation code with algorithm explanations.
This attachment contains MATLAB source code for image sparse representation, featuring fully functional implementation with configurable parameters for optimized performance across various image types.
Implementation of the Least Significant Bit (LSB) watermarking algorithm with complete MATLAB code. The compressed package contains original images ready for direct execution in MATLAB environment, featuring digital watermark embedding and extraction
Implementation of image segmentation leveraging edge detection algorithms and gradient information for precise boundary identification
Original MATLAB code for JPEG image compression encoding implementation, featuring discrete cosine transform (DCT), quantization, and entropy coding algorithms.