Results 101 to 110 of about 15,547 (189)

Blind image deblurring method based on l₁/l₂-norm regularization

Journal of Measurement Science and Instrumentation, 2023
Aiming at the problem of ringing artifacts existing in the edge of image in traditional blind image deblurring methods, l1/l2 regularization-based blind image deblurring method is proposed. The latent image is constrained by l1/l2 regularization, and the
CAO Shengfang, HU Hongping, WANG Wenke
doaj  

An Edge-Enhanced Branch for Multi-Frame Motion Deblurring

IEEE Access
Non-uniform deblurring is one of the most important image restoration tasks for providing appropriate information for subsequent applications that require image recognition.
Sota Moriyama, Koichi Ichige
doaj   +1 more source

Deep Video Deblurring

, 2016
Motion blur from camera shake is a major problem in videos captured by hand-held devices. Unlike single-image deblurring, video-based approaches can take advantage of the abundant information that exists across neighboring frames. As a result the best performing methods rely on aligning nearby frames.
Su, Shuochen, Delbracio, Mauricio, Wang, Jue, Sapiro, Guillermo, Heidrich, Wolfgang, Wang, Oliver   +5 more
openaire   +2 more sources

Deblurring Network for UV Images of Colorless Chemicals Floating on Sea Surface

Journal of Marine Science and Engineering
Automatic imaging monitoring technology has been developed as a mature solution to address oil spill accidents. However, when airborne equipment is used to monitor the area of leakage, there is a chance of relative motion between the equipment and the ...
Hui Huang, Yu Zhang, Chuansong Lin, Fuliang Lin, Yue Fang, Hong Song   +5 more
doaj   +1 more source

Single Image Defocus Deblurring Based on Structural Information Enhancement

IEEE Access
Defocus deblurring is an important task in computer vision that aims to bring images back to clarity. Over recent years, both blind defocuse deblurring and non-blind defocuse deblurring methods have made great progress in the single image defocus ...
Guangming Feng, Longfei Han, Yiwen Jia, Peiliang Huang   +3 more
doaj   +1 more source

Deep Mean-Shift Priors for Image Restoration

, 2017
In this paper we introduce a natural image prior that directly represents a Gaussian-smoothed version of the natural image distribution. We include our prior in a formulation of image restoration as a Bayes estimator that also allows us to solve noise ...
Bigdeli, Siavash Arjomand, Favaro, Paolo, Jin, Meiguang, Zwicker, Matthias   +3 more
core  

Deblurring, artifact-free optical coherence tomography with deconvolution-random phase modulation

Opto-Electronic Science
Deconvolution is a commonly employed technique for enhancing image quality in optical imaging methods. Unfortunately, its application in optical coherence tomography (OCT) is often hindered by sensitivity to noise, which leads to additive ringing ...
Xin Ge, Si Chen, Kan Lin, Guangming Ni, En Bo, Lulu Wang, Linbo Liu   +6 more
doaj   +1 more source

Computational single fundus image restoration techniques: a review

Frontiers in Ophthalmology
Fundus cameras are widely used by ophthalmologists for monitoring and diagnosing retinal pathologies. Unfortunately, no optical system is perfect, and the visibility of retinal images can be greatly degraded due to the presence of problematic ...
Shuhe Zhang, Carroll A. B. Webers, Tos T. J. M. Berendschot   +2 more
doaj   +1 more source

Image Deblurring via Frequency-Domain Feature Enhanced Convolutional Neural Networks. [PDF]

Sensors (Basel)
Guo Y, Ma L, Zhang Y.
europepmc   +1 more source

Current-Aware Temporal Fusion with Input-Adaptive Heterogeneous Mixture-of-Experts for Video Deblurring. [PDF]

Sensors (Basel)
Zhang Y, Zhao Z, Namiki A.
europepmc   +1 more source