Digital_Image_Processing
This implementation denoises the videos obtained from ultrasound and other non-invasive diagnostic measures and provides a filtered video.
Ultrasound Image Denoising with video streams
This repository contains Matlab code to remove speckled noise from ultrasound videos. The detailed writeup of the project can be viewed at Google Drive. The noisy ultrasound sample video and the denoised video can be viewed at Google Drive.
The below images shows an example of removing noise from ultrasound image.
The repository contains following files:
├── imgs # Directory containing inferred images.
├── main.m # Matlab file to run code.
├── breakVideo.m # Matlab function to break video into image frames.
├── joinImage.m # Matlab function to join images to video.
├── breakVideo.m # Matlab function to break video into image frames.
├── mean_speckle.m # Matlab function to apply mean filter.
├── median_speckle.m # Matlab function to apply median filter.
├── fourier_speckle.m # Matlab function to apply fourier filter.
├── PSNR.m # Matlab function to calculate average PSNR value.
├── recursive_temp.m # Matlab function for recursive temporal filtering.
├── sample.mp4 # Sample video for testing the code.
├── filter_video.avi # Filtered video generated by code.
└── README.md
How to use?
- Run main.m file.
- The filtered video will be stored as 'filter_video.avi' file in the main directory.
引用格式
Nitin Bisht (2026). Digital_Image_Processing (https://github.com/kalpiree/Digital_Image_Processing/releases/tag/1.2), GitHub. 检索时间: .
| 版本 | 已发布 | 发行说明 | Action |
|---|---|---|---|
| 1.2 | See release notes for this release on GitHub: https://github.com/kalpiree/Digital_Image_Processing/releases/tag/1.2 |
||
| 1.1 |
