Essays about: "Super-resolution"
Showing result 21 - 25 of 56 essays containing the word Super-resolution.
-
21. Real-Time Video Super-Resolution : A Comparative Study of Interpolation and Deep Learning Approaches to Upsampling Real-Time Video
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : Super-resolution is a subfield of computer vision centered around upsampling low-resolution images to a corresponding high-resolution counterpart. This degree project investigates the suitability of a deep learning method for real-time video super-resolution. READ MORE
-
22. Simultaneous Bayesian parameter estimation and particle-tracking including calculation of mis-linking probabilities
University essay from Lunds universitet/Institutionen för astronomi och teoretisk fysik - Genomgår omorganisationAbstract : Since 1994 super-resolution microscopes enable us to visualize processes in the nanome- ter regime where bio-molecules work. Consequently, there is a great need for methods analyzing the generated data to transfer the motion of molecules, seen as white dots, into trajectories. READ MORE
-
23. Deep upscaling for video streaming : a case evaluation at SVT.
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : While digital displays have continuously increased in resolution, video content produced before these improvements is however stuck at its original resolution, and the use of some form of scaling is needed for a satisfactory viewing experience on high-resolution displays. In recent years, the field of video scaling has taken a leap forward in output quality, due to the adoption of deep learning methods in research. READ MORE
-
24. Polarisation-resolved super-resolution microscopy
University essay from Lunds universitet/Fasta tillståndets fysik; Lunds universitet/Fysiska institutionenAbstract : This project aims to implement polarisation microscopy on the Tegenfeldt STED (stimulated emission depletion) microscope. STED microscopy is a targeted optical super-resolution method that can attain sub-diffraction resolution using visible light. READ MORE
-
25. Ensembles of Single Image Super-Resolution Generative Adversarial Networks
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : Generative Adversarial Networks have been used to obtain state-of-the-art results for low-level computer vision tasks like single image super-resolution, however, they are notoriously difficult to train due to the instability related to the competing minimax framework. Additionally, traditional ensembling mechanisms cannot be effectively applied with these types of networks due to the resources they require at inference time and the complexity of their architectures. READ MORE