Ellie Stroke | 2024 I.S. Symposium

Name: Ellie Stroke
Title: An Animation in an Image: Creating a short animation from a single image using digital image processing methods
Major: Computer Science
Minor: Studio Art

This study aims to show the various digital image processing techniques and how these methods, when applied at different times and in a specific order, can create an animated scene. This will be accomplished by first understanding digital images and their properties, including color models, pixels and pixel values, and neighborhood relationships. After digital images, various low-level processing methods will be discussed. These low-level methods include simple pixel operations such as brightness and contrast as well as spatial methods like smoothing and sharpening. A closer look into geometric operations and transformations will be essential for understanding the whole picture of these low-level methods. Mid-level processing methods such as segmentation and the 3 types of segmentation will be implemented and researched in order to determine their strengths and weaknesses as well as provide a visual and select the optimal algorithm for the final implementation. Pictures will be created with the help of AI. These ideas will all be implemented in Java to create an interactive software.
This research was exciting because I got to combine my love for coding with digital images and creative process. It is interesting to see the intersection between digital art and computer code and the applications of coding in the artistic world. This research provides a new way to animate an image and provides users with complete creative control over their own process. In the future more processing methods can be implemented to increase the breadth of personalization and output.

Posted in Symposium 2024 on May 2, 2024.