Image Deconvolution Restoration Implementation with Code
Source code from the 2007 ICIP International Conference paper for implementing image deconvolution restoration, featuring blind deconvolution algorithms and PSF estimation techniques.
Explore MATLAB source code curated for "图像" with clean implementations, documentation, and examples.
Source code from the 2007 ICIP International Conference paper for implementing image deconvolution restoration, featuring blind deconvolution algorithms and PSF estimation techniques.
This code implements SIFT algorithm for image feature point extraction and descriptor computation. Running show.m performs feature point extraction, while match.m handles image matching between two images. The documentation explains SIFT algorithm workflow, with 1.jpg and 2.jpg serving as test images for demonstration.
MATLAB code for effective image edge detection, capable of efficiently processing acquired images to extract edge features
Implementing frame-by-frame image extraction from AVI files using MATLAB with comprehensive code implementation details
MATLAB simulation for centroid calculation with practical image processing applications. Includes accompanying diagrams and program implementation.
Harris Corner Detection Program with sample images, enabling users to select regions of interest via mouse interaction for corner extraction. Features clean code implementation suitable for beginners, with potential enhancements like automated corner detection and image preprocessing.
The Block-Matching and 3D Filtering (BM3D) algorithm is a computationally scalable approach based on an innovative denoising strategy. It achieves state-of-the-art denoising performance in terms of both peak signal-to-noise ratio and subjective visual quality through block-matching, collaborative filtering, and wavelet-based thresholding techniques.
Digital image watermarking in DCT domain embeds watermark information into mid-frequency DCT coefficients, utilizing discrete cosine transform for robust data hiding.
Rapid calculation approaches for image power spectral density with configurable filter selection and computation length parameters
Programming in MATLAB to extract gray-level co-occurrence matrix (GLCM) from images with implementation details and texture analysis applications