Imaging and Printing
The goal is to assemble a small group of undergraduate students who will work alongside some of the graduate students in my research group to address problems that range from low-level imaging algorithms that are designed for printer and scanner products, to higher level algorithms that use image analysis and machine learning methods to identify image content and perform various tasks with this information. Image quality assessment is a common theme across this range of imaging tasks.
Issues Involved or Addressed
The activities will range from conducting experiments to evaluate algorithm quality and performance (required computational and hardware resources), to development of new algorithms to achieve the desired image processing or machine learning tasks.
The students in this team will learn how to work with industrial partners, how to collaborate with other team members undergraduate students, graduate students, and faculty members. The students in this team will also learn the basics of image processing and machine learning, as well as what is required to develop algorithms for hardware implementation, firmware implementation, and client or server software implementation.
Methods and Technologies
Academic Majors of Interest
Preferred Interests and Preparation
We seek students at all levels and with a variety of backgrounds. Prior programming experience in any particular language or software environment is not required. Students should be interested in signal and image processing, and willing to explore both software development and the mathematics underlying these areas. We are especially interested in students who have a desire to learn, to work hard, and to collaborate with others.
Students may be required to sign a non-disclosure agreement in order to participate in certain projects.