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Bringing a blurry frame alive at high frame-rate with an event camera
Event-based cameras can measure intensity changes (called'events') with microsecond
accuracy under high-speed motion and challenging lighting conditions. With the active pixel …
accuracy under high-speed motion and challenging lighting conditions. With the active pixel …
Variational Bayesian blind image deconvolution: A review
In this paper we provide a review of the recent literature on Bayesian Blind Image
Deconvolution (BID) methods. We believe that two events have marked the recent history of …
Deconvolution (BID) methods. We believe that two events have marked the recent history of …
Arvo: Learning all-range volumetric correspondence for video deblurring
Video deblurring models exploit consecutive frames to remove blurs from camera shakes
and object motions. In order to utilize neighboring sharp patches, typical methods rely …
and object motions. In order to utilize neighboring sharp patches, typical methods rely …
Single-image deblurring with neural networks: A comparative survey
Neural networks (NNs) are becoming the tool of choice for sharpening blurred images. We
discuss and categorize deblurring NNs. Then we evaluate seven NNs for non-blind …
discuss and categorize deblurring NNs. Then we evaluate seven NNs for non-blind …
High frame rate video reconstruction based on an event camera
Event-based cameras measure intensity changes (called 'events') with microsecond
accuracy under high-speed motion and challenging lighting conditions. With the 'active pixel …
accuracy under high-speed motion and challenging lighting conditions. With the 'active pixel …
A residual learning approach to deblur and generate high frame rate video with an event camera
Event cameras are bio-inspired cameras that can measure the intensity change
asynchronously with high temporal resolution. One of the advantages of event cameras is …
asynchronously with high temporal resolution. One of the advantages of event cameras is …
Focal stack image compression based on basis-quadtree representation
In this paper, we propose an efficient compression scheme for focal stack images (FoSIs)
based on a new basis-quadtree representation. In the new basis-quadtree representation …
based on a new basis-quadtree representation. In the new basis-quadtree representation …
[HTML][HTML] Image restoration for ring-array photoacoustic tomography system based on blind spatially rotational deconvolution
Ring-array photoacoustic tomography (PAT) system has been widely used in noninvasive
biomedical imaging. However, the reconstructed image usually suffers from spatially …
biomedical imaging. However, the reconstructed image usually suffers from spatially …
Raw image deblurring
CH Liang, YA Chen, YC Liu… - IEEE Transactions on …, 2020 - ieeexplore.ieee.org
Deep learning-based blind image deblurring plays an essential role in solving image blur
since all existing kernels are limited in modeling the real world blur. Thus far, researchers …
since all existing kernels are limited in modeling the real world blur. Thus far, researchers …
BRNet: Defocus Blur Detection Via a Bidirectional Channel Attention Residual Refining Network
Due to the remarkable potential applications, defocus blur detection, which aims to separate
blurry regions from an image, has attracted much attention. Although significant progress …
blurry regions from an image, has attracted much attention. Although significant progress …