噪声 Resources

Showing items tagged with "噪声"

This program adds multiple types of noise to images, including Gaussian noise, salt-and-pepper noise, additive and multiplicative noise, as well as various mixed noise combinations, for testing other image processing applications.

MATLAB 207 views Tagged

Median filtering is an effective digital image processing technique for eliminating noise from images. Our implementation allows you to run the code on your images for further processing. You can apply median filters with various kernel sizes including 3x3, 5x5, 7x7, and 9x9 - larger kernel sizes typically yield better noise reduction results by considering broader pixel neighborhoods.

MATLAB 308 views Tagged

Image denoising implementation in MATLAB using mathematical morphology with enhanced structural element selection. Unlike traditional single-structure-element approaches that yield suboptimal results, this method utilizes multiple structuring elements (disk, square, line) through dilation and erosion operations. The implementation effectively handles Gaussian, salt-and-pepper, and Wiener noise types while maintaining algorithmic simplicity through morphological opening/closing operations with imopen() and imclose() functions.

MATLAB 200 views Tagged

1. MATLAB programming for implementing function reverse sorting using array manipulation techniques; 2. Program implementation of FFT and Inverse Fourier Transform with signal processing algorithms; 3. An image processing application featuring noise addition and denoising filters.

MATLAB 203 views Tagged

Performing Gaussian background analysis on image sequences to remove background and noise, with reference to the paper "Automatic Temporal Segmentation for Content-Based Video Coding." Includes implementation details for background modeling and foreground extraction.

MATLAB 227 views Tagged