Results 41 to 50 of about 946,624 (201)
A Blur Restoration Algorithm Based on L0 Regularization [PDF]
Jisuanji gongcheng, 2016 Aiming at the motion blur,a new blind deblurring algorithm is proposed,which is based on the L0 regularization restraints and the prior knowledge of natural image gradient distribution to obtain the real motion kernel.In the proposed methods,T-smooth ...
FANG Shuai,FAN Dong,YU Lei,CAO Fengyun
doaj +1 more source
Multi-Stage Network for Event-Based Video Deblurring with Residual Hint Attention
Sensors, 2023 Video deblurring aims at removing the motion blur caused by the movement of objects or camera shake. Traditional video deblurring methods have mainly focused on frame-based deblurring, which takes only blurry frames as the input to produce sharp frames ...
Jeongmin Kim, Yong Ju Jung
doaj +1 more source
Learning Blind Motion Deblurring [PDF]
2017 IEEE International Conference on Computer Vision (ICCV), 2017 As handheld video cameras are now commonplace and available in every smartphone, images and videos can be recorded almost everywhere at anytime. However, taking a quick shot frequently yields a blurry result due to unwanted camera shake during recording or moving objects in the scene.
Wieschollek, P. +3 more
openaire +4 more sources
SL-CycleGAN: Blind Motion Deblurring in Cycles using Sparse Learning [PDF]
, 2022 In this paper, we introduce an end-to-end generative adversarial network (GAN) based on sparse learning for single image motion deblurring, which we called SL-CycleGAN.
Liu, Zhiyong +2 more
core +1 more source
Sensors, 2021 Complex marine environment has an adverse effect on the object detection algorithm based on the vision sensor for the smart ship sailing at sea. In order to eliminate the motion blur in the images during the navigation of the smart ship and ensure safety,
Hui Feng +3 more
doaj +1 more source
Learning Event-Based Motion Deblurring [PDF]
2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2020 Accepted to CVPR ...
Zhe Jiang +5 more
openaire +3 more sources
Efficient Video Deblurring Guided by Motion Magnitude
, 2022 Video deblurring is a highly under-constrained problem due to the spatially and temporally varying blur. An intuitive approach for video deblurring includes two steps: a) detecting the blurry region in the current frame; b) utilizing the information from
Wang, Yusheng +6 more
core +1 more source
Robust Single Image Deblurring Using Gyroscope Sensor
IEEE Access, 2021 Motion blur in an image is caused by the movement of the camera during exposure time; thus, awareness of the camera motion is a key factor in image deblurring algorithms.
Seowon Ji +4 more
doaj +1 more source
SID: Sensor-Assisted Image Deblurring System for Mobile Devices
IEEE Access, 2019 Handheld mobile photography is often affected by motion blur due to the difficulty of keeping the camera's stable. The existing processing method is usually a high-cost deblurring process of a computer, which seriously affects the user experience, and ...
Qing Wang +4 more
doaj +1 more source
CNN for license plate motion deblurring [PDF]
2016 IEEE International Conference on Image Processing (ICIP), 2016 In this work we explore the previously proposed approach of direct blind deconvolution and denoising with convolutional neural networks in a situation where the blur kernels are partially constrained. We focus on blurred images from a real-life traffic surveillance system, on which we, for the first time, demonstrate that neural networks trained on ...
Pavel Svoboda +3 more
openaire +3 more sources