Effective Source Code for Gaussian Noise Removal
High-performance Gaussian noise removal source code with superior denoising capabilities and straightforward implementation
Image Noise Detection and Removal
Detect and remove image noise to enhance image clarity, implementing basic image denoising processing methods with practical code examples
Region Growing Algorithm Implementation for False Alarm Target Removal
This region growing-based program is primarily designed for false alarm elimination and can calculate the area of each connected component in binary images. The implementation utilizes connected component analysis with seed point selection and neighborhood pixel aggregation.
Several Methods for Baseline Drift Removal
MATLAB implementation of multiple baseline drift removal techniques, primarily designed for ECG signal processing with applications in biomedical signal analysis.
Improved Envelope Method for Mitigating EMD Endpoint Effects
Enhanced envelope technique addressing Empirical Mode Decomposition endpoint artifacts through algorithmic optimization and signal extension approaches.
Removal of Horizontal Stripes from Images
This technique effectively restores original image quality by eliminating horizontal stripe artifacts using specialized image processing algorithms
Ring Artifact Detection and Removal Algorithm for CT Images
This algorithm detects and eliminates ring artifacts in CT images and can be extended to mitigate metal artifacts through specialized processing techniques including frequency domain filtering and sinogram correction.
Analysis of Cloud and Haze Removal in Remote Sensing Images Using Retinex and Wavelet Transform
Comprehensive analysis of cloud and haze removal techniques combining Retinex algorithm and wavelet transform for remote sensing image enhancement
Removal of Mixed Noise in Images
Matrix-based image denoising method for handling mixed noise patterns including stripe noise and Gaussian noise, with implementation insights