Motion Deblurring for Plenoptic Images
, 2014 We address for the first time the issue of motion blur in light field images captured from plenoptic cameras. We propose a solution to the estimation of a sharp high resolution scene radiance given a blurry light field image, when the motion blur point spread function is unknown, i.e., the so-called blind deconvolution problem.
Chandramouli, Paramanand +2 more
openaire +2 more sources
Deblurring Network for UV Images of Colorless Chemicals Floating on Sea Surface
Journal of Marine Science and EngineeringAutomatic 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 +5 more
doaj +1 more source
SlimDeblurGAN-Based Motion Deblurring and Marker Detection for Autonomous Drone Landing. [PDF]
Sensors (Basel), 2020 Truong NQ +6 more
europepmc +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
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
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
CorNet: Enhancing Motion Deblurring in Challenging Scenarios Using Correlation Image Sensor
IEEE AccessMotion deblurring in scenes involving small moving objects or low-illumination conditions is challenging. This paper presents an effective deep-learning solution that utilizes correlation images as key auxiliaries to address the problem.
Pan Wang, Toru Kurihara, Jun Yu
doaj +1 more source
CrossZoom: Simultaneous Motion Deblurring and Event Super-Resolving
IEEE Transactions on Pattern Analysis and Machine IntelligenceEven though the collaboration between traditional and neuromorphic event cameras brings prosperity to frame-event based vision applications, the performance is still confined by the resolution gap crossing two modalities in both spatial and temporal domains. This paper is devoted to bridging the gap by increasing the temporal resolution for images, i.e.
Chi Zhang +7 more
openaire +3 more sources
IMU-aided adaptive mesh-grid based video motion deblurring. [PDF]
PeerJ Comput SciArslan A, Gultekin GK, Saranli A.
europepmc +1 more source
Gyroscope-Assisted Motion Deblurring Network
Image research has shown substantial attention in deblurring networks in recent years. Yet, their practical usage in real-world deblurring, especially motion blur, remains limited due to the lack of pixel-aligned training triplets (background, blurred image, and blur heat map) and restricted information inherent in blurred images. This paper presents a
Luan, Simin +6 more
openaire +1 more source