Comparative study between super-resolution based on polynomial interpolations and Whittaker filtering interpolations
Tarek Cherifi, Latifa Hamami-Metiche, Slimane Kerrouchi · 2020
Super-resolution techniques are an important class of image processing techniques with the aim to enhance the resolution of images and videos in computer vision. In this survey, we aim in the paper to perform implementation techniques based on the parameterization and a comparison between the important polynomial interpolation algorithms and by Whittaker filtering applied in the case of mono-frame and multi-frame super-resolution. The super-resolution methods studied in the present work have the advantage of being both simple and of good performance in terms of resources consumed, particularly when it comes to the size of the processor and the required memory which are limiting factors. Also, given the simplicity of the used algorithms, their integration into embedded systems is highly favored.