Images in fluorescence microscopy are inherently blurred due to the limit of diffraction of
light. The purpose of deconvolution microscopy is to compensate numerically for this …

Deconvolution can be used to obtain sharp images or volumes from blurry or encoded
measurements in imaging systems. Given knowledge of the system's point spread function …

High-quality panoramic images with a Field of View (FoV) of 360° are essential for
contemporary panoramic computer vision tasks. However, conventional imaging systems …

Optical microscopy is an essential tool in biology and medicine. Imaging thin, yet non-flat
objects in a single shot (without relying on more sophisticated sectioning setups) remains …

Purpose To develop and evaluate a fast and effective method for deblurring spiral real‐time
MRI (RT‐MRI) using convolutional neural networks. Methods We demonstrate a 3‐layer …

Resolution is undoubtedly the most important parameter in optical microscopy by providing
an estimation on the maximum resolving power of a certain optical microscope. For …

Computer vision methods for depth estimation usually use simple camera models with
idealized optics. For modern machine learning approaches, this creates an issue when …

Non-uniform blind motion deblurring is a challenging yet important problem in image
processing that receives enduring attention in the last decade. The non-uniformity nature of …

Hyperspectral imaging (HSI) systems acquire images with spectral information over a wide
range of wavelengths but are often affected by chromatic and other optical aberrations that …

Panoramic Annular Lens (PAL) composed of few lenses has great potential in panoramic
surrounding sensing tasks for mobile and wearable devices because of its tiny size and …