Motion Blur Direction Estimation Using Hough Transform Method
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Resource Overview
A self-developed MATLAB implementation for estimating motion blur direction using Hough transform, containing one well-documented M-file with detailed comments. This resource provides practical insights for image restoration learners, featuring algorithm implementation details and key function explanations for motion blur analysis.
Detailed Documentation
I have developed a program that utilizes the Hough transform method to estimate the direction of motion blur in images. The implementation consists of a single M-file with comprehensive commenting throughout the code. This resource aims to assist individuals studying image restoration by providing a practical example that demonstrates motion blur direction estimation techniques.
The program implements key image processing operations including:
- Radon transform for line detection in blurred images
- Hough space analysis to identify dominant blur direction
- Peak detection algorithms to determine the primary motion angle
- Pre-processing steps for noise reduction and edge enhancement
This implementation helps users better understand the processing workflow for motion-blurred images and serves as a reference example for practical image restoration applications. The code includes detailed explanations of the mathematical transformations and parameter optimization approaches used in motion blur direction estimation.
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