Computational imaging systems have variety of applications include consumer cameras, cell phone cameras, vehicle camera systems, surveillance, medical imaging, remote sensing, and human computer interaction. Topics of computational imaging have a wide range of technologies in computer vision and image processing. This course focuses on image filtering, image editing, and image blending. In this course, students develop tools and/or application of computational imaging.
By the end of this course, students will be able to:
1. Operate the image processing tool
2. Develop the image processing application
Computational Image Processing
|✔ Specialist skills||✔ Intercultural skills||Communication skills||Critical thinking skills||Practical and/or problem-solving skills|
This class is a kind of active learning. Instructor will give some information, but students are required to study the image processing techniques and to develop the image processing application and/or tools.
|Course schedule||Required learning|
|Class 1||Introduction of the course and the image processing techniques.||Set-up the development environment.|
|Class 2||Survey image processing techniques.||List up the image processing techniques which students have interests.|
|Class 3||Use-case development for the image processing applications and/or tools.||Define three scenarios.|
|Class 4||Mid-term presentation||Present the scenario of the application which students will develop.|
|Class 5||Implementation of the image processing applications and/or tools.||Implementation of the image processing applications and/or tools.|
|Class 6||Test the image processing applications and/or tools.||Test the image processing applications and/or tools.|
|Class 7||Debug the image processing applications and/or tools.||Debug the image processing applications and/or tools.|
|Class 8||Final presentation and discussion||Present their works.|
Mid term presentation, final presentation, and report.