🧠 Image Processing Project

This repository contains foundational Image Processing projects implemented using OpenCV, NumPy, and Matplotlib.

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1️⃣ Image Noise Removal and Restoration

• Adds Gaussian, Salt & Pepper, and Speckle noise to an image.
• Restores the image using Mean, Median, Gaussian, and Bilateral filters.
• Evaluates performance using PSNR and SSIM metrics.

2️⃣ Image Enhancement and Histogram Equalization

• Improves image contrast and brightness dynamically.
• Uses both Global Histogram Equalization and CLAHE (Contrast Limited Adaptive Histogram Equalization).
• Works on color images using YCrCb color space transformations.

3️⃣ Image Sharpening and Edge Enhancement

Performs image sharpening and edge enhancement using OpenCV. Outputs:

• sharpened.png
• edge_enhanced.png Features:
• Sharpening with convolution kernel
• Edge detection with Laplacian filter
• Side-by-side visualization of results

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⚙️ Requirements

Install dependencies:

pip install -r requirements.txt