Description
The next version of nomacs includes a crop function for images. Cropping and rotating images may result in image regions that are not defined. Currently, these image regions are not filled at all (transparent) or they are filled with a default color. Filling these regions with parts that are replicated from the original image improves the visual appearance. The student should investigate state-of-the-art texture synthesis methods such as Kwatra et al. for a best possible visual appearance of cropped images.
Benefit for the Student
The student will gain experience in state-of-the-art texture synthesis algorithms and computer vision. Moreover, basic knowledge of image processing libraries such as OpenCV will be developed.
Benefit for the Project
Texture synthesis improves the usability of the current crop functionality.
Requirements
Good skills in object-oriented C++ are required accompanied by basic experience in computer vision. Qt or OpenCV knowledge would be beneficial.
Mentors
Contact
Send an email to This email address is being protected from spambots. You need JavaScript enabled to view it. (first subscribe here) using the prefix [nomacs].
More Information
Also have a look at the nomacs webpage. You may also improve your chances of being selected by solving the puzzle.