Nowadays, smartphone cameras capture bursts of raw photographs whenever the trigger is pressed. These photos are then fused to produce a single picture with higher quality. This paper details implementation method 'Handheld Multi-Frame Super-Resolution algorithm' by Wronski et al. (used in Google Pixel 3 camera), which performs simultaneously multi-image super-resolution demosaicking and denois...

We report that high-density single-molecule super-resolution microscopy can be achieved with a conventional epifluorescence microscope set-up and mercury arc lamp. The configuration termed as laser-free (LFSM) is an extension of localization (SMLM) techniques allows single molecules to switched on off (a phenomenon ‘blinking’), detected localized. use short burst deep blue excitation (350–380 n...

This paper presents a hybrid approach for images and video super-resolution. We have proposed the approach for enhancing the resolution of images and low resolution, under sampled videos. We exploited the shift and motion based robust super-resolution (SR)algorithm [1] and the diffusion image regularization method proposed in [2] to obtain the alias free and jerk free smooth SR image.We present...

Many efficient super-resolution methods have been presented in the past for improving resolution of images degraded by global blurs. Unfortunately, in video, more complex situations can be observed where local blurs appear in each frame which are mainly caused by object motions. To address this problem, we propose in this article a local super-resolution method which allows the restoration of s...

This paper aims to make the super-resolution of a high-resolution image from a sequence of low-resolution frames containing non-stationary objects. The challenges of making super-resolution image, like unavoidable smoothing effects, introduction of artifacts, computational efficiency in time and computational efficiency in memory requirements, are considered and a novel method is proposed to so...

Image super-resolution algorithm improves image resolution in software. Before image tracking, it needs to enhance image resolution to improve the image tracking accuracy of the bionic eye. The traditional super-resolution reconstruction method can’t satisfy the accuracy and real-time system, so this paper proposes super-resolution image reconstruction algorithm based on SURF (Speeded up Robust...

Abstract : The MRI reconstruction based on super−resolution back−projection algorithm is presented in the paper. It is shown that the approach improves MRI spatial resolution in cases when PROPELLER sequences are used. The PROPELLER MRI method collects data in rectangular strips rotated around the origin of the k−space. Inter−strip patient motion is the premise for the use of super−resolution t...