Image Editing Research at Cornell College

Description

This repository contains the code and resources for image editing research conducted at Cornell College in collaboration with Professor Leon Tabak, a distinguished professor of Computer Science. The goal of this research is to edit existing picture to make them look nice with software

Research Objectives

• Develop novel image editing algorithms
• Analyze the impact of image editing on human perception

Repository Structure

The repository is organized as follows:

• /images: Contains the base images used for editing.
• /code: Includes the source code for the image editing algorithms.
• /resources: Contains additional resources, such as documentation and related papers.
• /results: Stores the results and output of the experiments and evaluations.

Getting Started

To get started with this project, follow these steps:

1. Clone the repository: git clone https://github.com/your-username/2023-csri-tabak.git
2. Install the necessary dependencies: pip install -r requirements.txt
3. Explore the code and resources in the repository.
4. Refer to the documentation in the /resources directory for detailed instructions on running experiments and reproducing results.

Contact

For any questions or inquiries about this project, please reach out to:

• Professor Leon Tabak: [email protected]
• William DeBlieck: [email protected]
• Justin LastNameHere: [email protected]
• Katie LastNameHere: [email protected]

Feel free to create an issue or submit a pull request if you have any suggestions or improvements.