Explore MATLAB source code curated for "图像锐化" with clean implementations, documentation, and examples.
Implementation of 5 gradient-based enhancement techniques for image sharpening, high-pass filtering with mask processing, noise reduction using Butterworth low-pass filters, and image sharpening through Butterworth high-pass filters. Includes practical code implementations for each method.
Undergraduate Digital Image Processing Experiment Program 2, covering image sharpening, segmentation, and related techniques with code implementation examples
Histogram Equalization and Image Sharpening - Image Enhancement Techniques with Implementation Approaches
Image sharpening and enhancement algorithm implementation using Sobel operator for edge detection and detail amplification, with code-level implementation insights.
Implementation of image sharpening through 5 distinct gradient enhancement approaches with verified correct results, providing valuable insights for image processing applications.
Histogram Equalization Processing for Enhanced Image Contrast
Comprehensive image processing methods including image denoising, sharpening, embossing effects, segmentation, and recognition with practical implementation approaches
This experiment explores how to utilize the Laplacian operator for image enhancement (image sharpening), including implementation approaches and parameter optimization techniques.