Novel Consistency Check for Fast Recursive Reconstruction Of Non-Regularly Sampled Video Data
We propose faster consistency checking methods as well as a novel recursive FSR that uses the projected pixels different than in literature and can handle dynamic masks.
Altogether, we are able to significantly increase the reconstruction quality by +1.01 dB compared to the state-of-the-art recursive reconstruction method using a fixed mask. Compared to a single frame reconstruction, an average gain of about +1.52 dB is achieved for dynamic masks. At the same time, the computational complexity of the consistency checks is reduced by a factor of 13 compared to the literature algorithm.
Further information about the novel consistency checks is provided in the following presentation.
This contribution was presented at ICIP 2021 (19-22 September 2021).
Research at the chair is regularly being published at international conferences and impactful journals. In times of virtual conferences, many organizers have resorted to presentations in the form of pre-recorded videos that can be accessed on-demand by attendees. We use this opportunity to make our research available to a broader public by sharing some of our contributions on our website.