Assignment 1: Convolution, Interpolation, and Resizing

Overview

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This assignment will introduce you to basic image processing concepts and Python tools for image analysis.

Estimated Time: 3-5 hours

Learning Objectives

By completing this assignment, you will:

• Understand basic image representation in digital form
• Learn to use NumPy and OpenCV for image manipulation
• Implement simple image transformations
• Gain experience with Python programming for image analysis

Getting Started

Required Software

Make sure you have installed:

• Python 3.8+
• NumPy
• OpenCV (cv2)
• Matplotlib
• Jupyter Notebook (optional but recommended)

Installation

pip install numpy opencv-python matplotlib jupyter

Part 1: Image Loading and Display (2 points)

1. Load the provided sample image using OpenCV
2. Display the image using Matplotlib
3. Print the image shape, data type, and min/max pixel values

Deliverable: A Python script or Jupyter notebook with your code and output.

Part 2: Basic Image Transformations (3 points)

Implement the following transformations:

1. Convert the image to grayscale
2. Resize the image to 256x256 pixels
3. Rotate the image by 45 degrees
4. Flip the image horizontally

Deliverable: Your transformed images and code.

Part 3: Pixel Manipulation (3 points)

1. Create a function to invert an image (negative)
2. Implement a function to adjust brightness
3. Create a simple threshold function

Deliverable: Functions with documentation and example outputs.

Part 4: Histograms (2 points)

1. Compute and plot the histogram of the grayscale image
2. Implement histogram equalization
3. Display the original and equalized images side-by-side

Deliverable: Plots and analysis of the results.

Submission Guidelines

Submit a single ZIP file to Gradescope containing:

1. assignment1.py or assignment1.ipynb - Your code
2. results/ folder - Output images
3. README.txt - Brief description of your approach and any challenges

File Structure

assignment1_submission.zip
├── assignment1.py (or .ipynb)
├── results/
│   ├── part1_output.png
│   ├── part2_*.png
│   ├── part3_*.png
│   └── part4_*.png
└── README.txt

Grading Rubric

Tips and Resources

• Start early! Image processing can have unexpected challenges
• Test your code with different images
• Use the discussion forum if you get stuck
• Useful resources:
  • OpenCV Python Tutorials
  • NumPy Documentation
  • Matplotlib Gallery

Academic Integrity

You may discuss concepts with classmates but must write your own code. Acknowledge any collaborators in your README.txt file.

Questions?

Post on the discussion forum or come to office hours!