DarkDeblur: Learning single-shot image deblurring in low-light condition

SMA Sharif, RA Naqvi, F Ali, M Biswas - Expert Systems with Applications, 2023 - Elsevier
Single-shot image deblurring in a low-light condition is known to be a profoundly
challenging image translation task. This study tackles the limitations of the low-light image …

[PDF][PDF] Image deblurring techniques—a detail review

MM Sada, MM Goyani - Int. J. Sci. Res. Sci. Eng. Technol, 2018 - researchgate.net
Images are nowadays an integral part of our lives, whether in scientific applications or social
networking and where there is an image, the concept of blurring might occur. Blurring is a …

Phase contrast image restoration by formulating its imaging principle and reversing the formulation with deep neural networks

L Han, H Su, Z Yin - IEEE Transactions on Medical Imaging, 2022 - ieeexplore.ieee.org
Phase contrast microscopy, as a noninvasive imaging technique, has been widely used to
monitor the behavior of transparent cells without staining or altering them. Due to the optical …

Techniques in de-blurring image

R Muthana, AN Alshareefi - Journal of physics: conference series, 2020 - iopscience.iop.org
Images nowadays are an integral part of our lives, whether in scientific applications or social
networks and where there is an image, the concept of image blurring may occur. Blurred is a …

[HTML][HTML] Deep learning based architectures for cross-domain image processing

A Mehri - 2023 - ddd.uab.cat
La visió humana està restringida a l'espectre visual-òptic. La visió artificial no ho és. Les
càmeres sensibles a diverses bandes espectrals d'infrarojos poden millorar les capacitats …

Physics-Driven and Annotation-Efficient Microscopy Image Segmentation

L Han - 2022 - search.proquest.com
Microscopy images captured from noninvasive techniques such as phase contrast
microscopes have been widely used for monitoring transparent live cells. Unfortunately …