Super-resolution compressive imaging with anamorphic optics

Single exposure super-resolution compressive imaging by double phase encoding.

Super-resolution is an important goal of many image acquisition systems. Here we demonstrate the possibility of achieving super-resolution with a single exposure by combining the well known optical scheme of double random phase encoding which has been traditionally used for encryption with results from the relatively new and emerging field of compressive sensing. It is shown that the proposed m...

Robust Fuzzy Content Based Regularization Technique in Super Resolution Imaging

Super-resolution (SR) aims to overcome the ill-posed conditions of image acquisition. SR facilitates scene recognition from low-resolution image(s). Generally assumes that high and low resolution images share similar intrinsic geometries. Various approaches have tried to aggregate the informative details of multiple low-resolution images into a high-resolution one. In this paper, we present a n...

Single Molecules , Cells , and Super - Resolution Optics

Imaging-Consistent Super-Resolution

This paper introduces two algorithms for enhancing image resolution from an image sequence. The “image-based” approach presumes that the images were taken under the same illumination conditions and uses the intensity information provided by the image sequence to construct the high-resolution image. This ideal, however, is almost always not true when the illumination varies. The “edge-based” app...

Quantitative super- resolution imaging with qPAINT

NATURE METHODS | VOL.13 NO.5 | MAY 2016 | 439 We introduce a simple and robust quantitative super-resolution method called quantitative PAINT (or qPAINT) based on DNAPAINT15–19. Instead of relying on stochastic switching of targetbound dyes3,4, DNA-PAINT achieves apparent blinking of targets via transient binding of free-floating dye-labeled ‘imager’ strands to complementary target-bound ‘docki...