Wavelet Filtering, Denoising, Enhancement, and Transformation Case Studies
Comprehensive case programs demonstrating wavelet filtering, noise removal, signal enhancement, and transformation techniques with practical implementation examples
Frequency Estimation of Sinusoidal Signals Using FFT
Estimating the frequency of a sinusoidal signal contaminated with additive white Gaussian noise via FFT involves computing the Fourier transform of x(n) to obtain the spectrum, identifying the frequency corresponding to the maximum magnitude, and calculating the mean squared error over multiple iterations. By varying the signal-to-noise ratio (SNR), simulations demonstrate that the mean squared error decreases as SNR increases, highlighting the method's robustness in noisy environments.
2D Projection Image Transformation Based on 3D Spatial Triangular Meshes
This project implements 2D projection image transformation using 3D triangular meshes, covering essential computer vision techniques including 3D affine transformations, fundamental matrix computation, and Euclidean space reconstruction. The implementation utilizes key algorithms and mathematical operations suitable for image-based 3D reconstruction research.
Image Fusion Using Contourlet Transform with Algorithm Implementation
Application Background: This MATLAB code performs fusion of two source images captured with different focal regions to generate a composite image with uniform focus distribution. Technical Approach: The implementation leverages Contourlet transform-based multi-scale decomposition to enhance fusion quality by preserving directional texture details and edge information through pyramidal directional filter banks.
Motion Blur Direction Estimation Using Radon Transform
(1) Apply motion blur to the original image, perform Fourier transform to obtain the corresponding frequency spectrum. (2) Perform Canny operator edge detection on the motion-blurred image's frequency spectrum. (3) Apply Radon transform to the Canny edge detection result to determine motion blur direction.