Results 91 to 100 of about 1,364,847 (158)
SlimDeblurGAN-Based Motion Deblurring and Marker Detection for Autonomous Drone Landing. [PDF]
Sensors (Basel), 2020 Truong NQ +6 more
europepmc +1 more source
Motion Deblurring for Optical Character Recognition
, 2008 This paper investigates the problem of blurring caused by motion during image capture of text documents. Motion blurring prevents proper optical character recognition of the document text contents.
Chew Lim Tan, Xing Yu Qi, Li Zhang
core
High-throughput fluorescence microscopy using multi-frame motion deblurring. [PDF]
Biomed Opt Express, 2020 Phillips ZF, Dean S, Recht B, Waller L.
europepmc +1 more source
Stereoscopic video deblurring transformer
Scientific ReportsStereoscopic cameras, such as those in mobile phones and various recent intelligent systems, are becoming increasingly common. Multiple variables can impact the stereo video quality, e.g., blur distortion due to camera/object movement.
Hassan Imani +3 more
doaj +1 more source
Blind motion deblurring using improved DeblurGAN
IET Image ProcessingTo develop a fast and effective image deblurring method, the blind recovery of motion‐blurred images based on DeblurGAN(GAN, Generative Adversarial Networks) is researched.Firstly, the number of residual modules in the DeblurGAN network is changed, and ...
Wentao Ji, Xing Chen, Yihong Li
doaj +1 more source
A No-Reference Metric for Evaluating the Quality of Motion Deblurring
, 2013 Figure 1: We develop a no-reference metric for evaluating the perceptual quality of image motion deblurring results. The metric can be used for fusing multiple deblurring results (b) of the same input image (a) to generate one with the best quality (e). (
Liu, Yiming +9 more
core +1 more source
Comparison of two elastic motion correction approaches for whole-body PET/CT: motion deblurring vs gate-to-gate motion correction. [PDF]
EJNMMI Phys, 2020 Pösse S +6 more
europepmc +1 more source
Motion Deblurring via Spatial-Temporal Collaboration of Frames and Events
Motion deblurring can be advanced by exploiting informative features from supplementary sensors such as event cameras, which can capture rich motion information asynchronously with high temporal resolution.
Ma, Jupo +4 more
core +1 more source
, 2022 Successful training of end-to-end deep networks for real motion deblurring requires datasets of sharp/blurred image pairs that are realistic and diverse enough to achieve generalization to real blurred images.
Carbajal, Guillermo +3 more
core
Image Motion Deblurring with Multi-regularization Constraints
工程科学与技术, 2017 :In order to overcome the ill-posedness of image motion deblurring,the existing algorithms usually introduce regularization constraints to narrow the solution space.However,a single regularization constraint may not be helpful to estimate the point ...
FU Ying, WU Xi, Zhou Jiliu
doaj