Author: Chaira Harder Project: Image Manipulation and Filtering in MATLAB

This project demonstrates the use of matrix operations in digital image processing using MATLAB. Starting with a standard image (thai.jpg), various color filters and transformations including grayscale, sepia, red-channel isolation, hue rotation, and artistic effects like Warhol-style tiling and blurring are used.

• Extract and manipulate RGB channels
• Apply grayscale and sepia tone transformations via matrix multiplication
• Rotate image hues with color rotation matrices
• Implement image flipping, cropping, darkening, and brightness enhancement
• Simulate Andy Warhol-style image tiling
• Blur an image using a custom-defined blur() function

1. Place thai.jpg in your MATLAB project directory.
2. Run the script from MATLAB.
3. Generated figures will display each transformation.
4. Optional: Test the blur() function with different wid (blur width) values for custom effects.

• All transformations use pixel-wise or channel-wise manipulation with for-loops and matrix reshaping.
• Hue rotation uses a combination of predefined and trigonometric matrices to simulate real-world color shifting.
• The blur() function is manually implemented without using built-in filters (except for testing) for educational purposes.