Computer Vision
Completed
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simply-blur-detector
Image Quality Assessment
A simply application for using OpenCV for detecting blur in the image.
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Overview
A lightweight and efficient tool for detecting blur in images using advanced computer vision algorithms. This application assesses image quality and determines if an image is blurry, making it useful for quality control in photography and image processing pipelines.
Key Features
Automatic blur detection
Batch processing support
Multiple detection algorithms
Confidence scoring
Easy API integration
Challenges
Accurate blur detection
Different types of blur handling
Processing speed optimization
False positive reduction
Solutions
Implemented multiple detection algorithms
Used ensemble methods for accuracy
Optimized image processing pipeline
Created comprehensive test suite
Results & Impact
High accuracy blur detection
Fast processing speed
Widely used in image processing
Active community contributions
Project Info
Role
Creator & Maintainer
Timeline
2019 - 2020
1 year
Technologies
PythonOpenCVNumPyScikit-learnPILImage Processing