Spatial Domain Filtering of Images Using Five Different Operators
Implementation of spatial domain filtering with five distinct operators to achieve effective image deblurring results through various convolution techniques.
MATLAB Code Implementation for Image Processing
MATLAB image processing techniques covering histograms, image transforms, spatial filtering (image enhancement using templates), and edge detection operators with practical code implementations.
Image Enhancement Techniques: Grayscale Transformation, Spatial Domain Filtering, Frequency Domain Enhancement, Color Enhancement, and Wavelet Enhancement
Comprehensive Overview of Image Enhancement Methods Including Grayscale Transformation, Spatial and Frequency Domain Filtering, Color Enhancement, and Wavelet-Based Techniques with Code Implementation Insights
MATLAB Course Project: Spatial Filtering Enhancement with Graphical User Interface Implementation
MATLAB course design focusing on spatial filtering enhancement: Spatial domain filtering involves neighborhood operations on images using templates in the image space. Each pixel value in the output image is calculated by processing the corresponding neighborhood pixels of the input image through a template. Learn and master spatial filtering techniques in MATLAB, and design a GUI interface to implement the following functionality: 1) Create an image interface using MATLAB Guide to read and display images, with buttons for various filter operations; 2) Artificially add noise to an image using imnoise function; 3) Perform linear filtering; 4) Apply median filtering; 5) Implement adaptive filtering; 6) Compare results using custom MATLAB filters.
Broadband Three-Dimensional Matrix Beamforming Technology (MVDR)
Broadband Three-Dimensional Matrix Beamforming Technology (MVDR)
Capon Algorithm for Array Signal Processing
Capon Algorithm Implementation in Array Signal Processing