锐化 Resources

Showing items tagged with "锐化"

Smoothing and Sharpening (Edge Detection) in Digital Image Processing. Includes: 1. Adding salt-and-pepper and Gaussian noise. 2. Smoothing noise-contaminated images using neighborhood averaging, median filtering, and K-nearest neighbor averaging methods. 3. Sharpening images using Roberts gradient, Sobel operator, and Laplacian operator methods with comparative result analysis. Accompanied by source image and processed result screenshots with implementation code insights.

MATLAB 234 views Tagged

This comprehensive image processing program demonstrates techniques for compression, denoising, enhancement and sharpening. Implementation includes: displaying digital image matrix data and its Fourier transform, image compression using 2D discrete cosine transform (DCT), contrast enhancement via grayscale transformation, salt-and-pepper noise removal using medfilt2 2D median filtering, mean filtering with filter2 for noise reduction, adaptive Wiener filtering, five distinct gradient enhancement methods for sharpening, high-pass filtering with mask processing, Butterworth low-pass filter for image smoothing, and Butterworth high-pass filter for sharpening operations.

MATLAB 275 views Tagged

This program performs various image processing operations including grayscale conversion, rotation, sharpening, and drawing geometric shapes (circles, ellipses, lines) on images. Implementation requires entering specific parameter expressions in input fields. Example expressions: Line drawing: x1=20,y1=15,x2=150,y2=100; Circle: x=100,y=100,r=20; Ellipse: x=100,y=100,a=16,b=9; Rotation: angle=30(degrees),ax=100,ay=90; Sharpening: factor=80. The core algorithms utilize matrix transformations for geometric operations and convolution kernels for sharpening.

MATLAB 243 views Tagged

This package provides implementations for image smoothing and sharpening, featuring multiple methods including mean filtering, median filtering, order-statistic filtering for smoothing, and Sobel operator along with high-pass filtering for sharpening, with detailed code explanations for each algorithm.

MATLAB 192 views Tagged