INFWIDE: Image and Feature Space Wiener Deconvolution Network for Non-Blind Image Deblurring in Low-Light Conditions
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Transactions on Image Processing"
DOI: 10.1109/tip.2023.3244417
Abstract: Under low-light environment, handheld photography suffers from severe camera shake under long exposure settings. Although existing deblurring algorithms have shown promising performance on well-exposed blurry images, they still cannot cope with low-light snapshots. Sophisticated noise… read more here.
Keywords: network; low light; wiener deconvolution; feature space ... See more keywords
Deblurring streak image of streak tube imaging lidar using Wiener deconvolution filter.
Sign Up to like & getrecommendations! Published in 2019 at "Optics express"
DOI: 10.1364/oe.27.037541
Abstract: We use a Wiener deconvolution filter to deblur the streak image of streak tube imaging lidar to improve the spatial resolution of the system and reduce the edge blurring effect in point clouds. Experiments were… read more here.
Keywords: deconvolution filter; wiener deconvolution; streak image; image streak ... See more keywords
End-to-end learned single lens design using improved Wiener deconvolution.
Sign Up to like & getrecommendations! Published in 2022 at "Optics letters"
DOI: 10.1364/ol.478172
Abstract: End-to-end single-lens imaging system design is a method to optimize both optical system and reconstruction algorithm. Most end-to-end single lens systems use convolutional neural networks (CNN) for image restoration, which fit the transformation relationship between… read more here.
Keywords: end end; wiener deconvolution; design; end ... See more keywords