zetoshop

Photoshop for People Who Don't Care About Features: The Who Needs 'Em Edition

zepto (definition) : combining form meaning “one sextillionth” (10-21).
It's just photoshop, but on a zepto scale 🤏

Purpose

This repository contains an assignment for the FCAI OOP Programming course in 2023. The assignment focuses on creating a photo editing app that can apply various filters to both grayscale and RGB images. The project is designed to offer basic image manipulation functionalities.

Features

• Load and manipulate grayscale and RGB images.
• Apply various image filters.
• Save the edited image.
• Detailed documentation on available filters and options.
• Mode auto-detection: Detects the image color mode (RGB or grayscale) to apply the correct algorithm.
• Smart frame: Generates a frame color based on the average image contrast.
• Error handling: Ensures user input validation.
• Quick save mode: Allows users to input a filename for quick save.

Filters

1. Black and White Filter: Converts the image to grayscale.
2. Invert: Creates a negative of the image.
3. Merge: Allows you to merge two images.
4. Flip: Flip the image horizontally or vertically.
5. Change Brightness: Adjust the brightness of the image.
6. Rotate: Rotate the image.
7. Detect Edges: Highlight edges in the image.
8. Enlarge: Increase the size of the image.
9. Shrink: Reduce the size of the image.
10. Mirror: Create a mirrored image.
11. Add Smart Frame: Add a decorative frame to the image.
12. Get Average Pixels Contrast (Advanced): Calculate and display the average contrast of pixels in the image.
13. Shuffle: Shuffle the pixels in the image.
14. Blur: Apply a blur effect to the image.
15. Crop: Crop a portion of the image.
16. Skew: Skew the image.
17. Credits: View the credits for this application.
18. Save Image to a File: Save the edited image to a file.
19. Exit: Close the application.

Credits

This project essentially provides Photoshop-like features but on a zepto scale.

This amazing project was made possible by:

• Ghassan Elgendy
  • GitHub: ghassanelgendy
• Rowan Ammar
  • GitHub: rowanammar
• Jana Mohamed
  • GitHub: janaramadan

As an assignment for Dr. Mohamed Elramly at FCAI-CU.

License

This project is licensed under the MIT License - see the LICENSE file for details.

Acknowledgments

We would like to express our gratitude to our instructors and fellow students for their support and guidance during this assignment.

Thank you for using our photo editing app!