The master's thesis projects are a very important part of exploratory work at Imint. Every year we invite a number of students to perform master's thesis projects in areas we find to be of interest for future opportunities. Many of our previous thesis students have also started working with us after finishing their master's thesis.
Here you will find the thesis topics we have available for the fall semester of 2022, and you're welcome to apply using the "apply for this job" button. Please specify which topic or topics you are interested in when writing your application, and attach a transcript of records.
- Real-time video super resolution
- Local motion compensation
- Real-time video spatial noise reduction
Real-time video super resolution
Super resolution is an important technology for smartphones where the optical zoom options are limited. For these phones, digital zoom is applied when the user zooms in, which tends to look very poor with classic interpolation techniques. Super resolution has come a long way and is now commonly available for photos on flagship smartphones. We have a foundation for super resolution at Imint, and we are now looking beyond photos. The objective of this thesis is to adapt existing super resolution research and algorithms to make it run in real-time for video. The code will be written in C++ in Imint's video processing framework.
Local motion compensation
A normal user made video has a mix of random and intended movement, both from the camera and movement in the scene. The foundation for video stabilization is to compensate for the camera movement by warping each frame to match with the previous frames. We are now looking at the movement within the scene, and how it can be calculated. The objective of this thesis is to develop an algorithm that can warp a frame to compensate for people and objects moving during a video. The code will be written in C++ in Imint's video processing framework.
Real-time video spatial noise reduction
Spatial noise reduction is a huge research field, with a breadth of different solutions. We are now looking for the best way to perform spatial noise reduction of real-time video on smartphones. The objective of this thesis is to do a research review of state of the art methods, creating a proof of concept of the most interesting options, as well as modifying the algorithm to fit real-time implementation on a smartphone. The code will be written in C++ in Imint's video processing framework.
If you are interested in doing your master thesis at Imint, please contact us in English or Swedish. Read more about us here: www.weareimint.com