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# Image Filtering and Enhancement with OpenCV
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This project provides various image filtering and enhancement techniques using OpenCV in Python. It allows you to apply multiple filters to images, enhancing their quality and extracting features.
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## Features
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- Gaussian Blur
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- Median Blur
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- Bilateral Filtering
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- Image Sharpening
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- Unsharp Masking
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- Histogram Equalization
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- CLAHE (Contrast Limited Adaptive Histogram Equalization)
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- Color Space Conversion (BGR to HSV)
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- Canny Edge Detection
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- Sobel Edge Detection
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- Laplacian Edge Detection
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- Dilation and Erosion
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- Brightness and Contrast Adjustment
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## Requirements
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To run this project, you'll need:
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- Python 3.x
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- OpenCV
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- NumPy
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- Matplotlib
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You can install the required packages using pip:
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```bash
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pip install opencv-python numpy matplotlib

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