📸 NumPy Image Studio

A lightweight image processing project built entirely with Python and NumPy. This project demonstrates how to manipulate digital images at the pixel level using array operations instead of high-level AI libraries.

🛠️ Features Implemented

• Grayscale: Converts RGB images using Channel Mean Aggregation.
• Image Flipping: Horizontal mirroring via NumPy Slicing ([::-1]).
• Brightness: Intensity control using NumPy Broadcasting and Clipping.
• Smart Cropping: Region extraction through Array Indexing.

🧠 Key Concepts Used

• 3D Array Slicing: Manipulating Height, Width, and Color channels.
• Broadcasting: Applying scalar math across entire image matrices.
• Axis Operations: Performing calculations across specific dimensions (RGB axis).
• Data Visualization: Rendering processed arrays using Matplotlib.

🚀 How to Run

1. Ensure you have Python installed.
2. Install dependencies: pip install numpy matplotlib pillow.
3. Place your image as photo.jpeg in the project folder.
4. Run main.py.