Results 11 to 20 of about 1,226,194 (284)
Robust Image Restoration for Motion Blur of Image Sensors [PDF]
Sensors, 2016 Blind image restoration algorithms for motion blur have been deeply researched in the past years. Although great progress has been made, blurred images containing large blur and rich, small details still cannot be restored perfectly.
Fasheng Yang +4 more
doaj +2 more sources
Real-Time Motion Blur Using Multi-Layer Motion Vectors
Applied SciencesTraditional methods for motion blur, often relying on a single layer, deviate from the correct colors. We propose a multilayer rendering method that closely approximates the motion blur effect.
Donghyun Lee, Hyeoksu Kwon, Kyoungsu Oh
doaj +2 more sources
Towards robust visual odometry by motion blur recovery [PDF]
Frontiers in Signal ProcessingIntroductionMotion blur, primarily caused by rapid camera movements, significantly challenges the robustness of feature point tracking in visual odometry (VO).MethodsThis paper introduces a robust and efficient approach for motion blur detection and ...
Simin Luan +4 more
doaj +2 more sources
MMBM-Driven and IMU-Assisted Adaptive Deblurring for Periodic Rotational-Scanning Panoramic Imaging Systems [PDF]
SensorsA periodic rotational-scanning panoramic imaging system (PRS imaging system) can acquire large-scale, continuous, and high-resolution panoramic images through rotational scanning.
Yaheng Wang +5 more
doaj +2 more sources
Retrieval Robust to Object Motion Blur [PDF]
Moving objects are frequently seen in daily life and usually appear blurred in images due to their motion. While general object retrieval is a widely explored area in computer vision, it primarily focuses on sharp and static objects, and retrieval of motion-blurred objects in large image collections remains unexplored.
Rong Zou, Marc Pollefeys, Denys Rozumnyi
core +6 more sources
Visual Tracking Under Motion Blur [PDF]
IEEE Transactions on Image Processing, 2016 Most existing tracking algorithms do not explicitly consider the motion blur contained in video sequences, which degrades their performance in real-world applications where motion blur often occurs. In this paper, we propose to solve the motion blur problem in visual tracking in a unified framework. Specifically, a joint blur state estimation and multi-
Fatih Porikli, Jianbing Shen, Ling Shao
exaly +5 more sources
IMAGE MOTION COMPENSATION – THE VEXCEL APPROACH [PDF]
The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 2022 Motion compensation in general and forward motion compensation in particular was an important milestone in aerial imaging when presented for film-based camera systems in the late 90ts of the last century.
S. Dohr +3 more
doaj +1 more source
Overview of Blind Deblurring Methods for Single Image [PDF]
Jisuanji kexue yu tansuo, 2022 Image deblurring has been a research hotspot in computer vision and image processing for a long time. The motion blur or focus blur image caused by camera jitter, object motion or defocus will seriously affect the use and follow-up processing of the ...
LIU Liping, SUN Jian, GAO Shiyan
doaj +1 more source
DETECTING AND CORRECTING MOTION BLUR FROM IMAGES SHOT WITH CHANNEL-DEPENDENT EXPOSURE TIME [PDF]
ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 2012 This article describes a pipeline developed to automatically detect and correct motion blur due to the airplane motion in aerial images provided by a digital camera system with channel-dependent exposure times.
L. Lelégard +3 more
doaj +1 more source
Real-Time Robust Tracking for Motion Blur and Fast Motion via Correlation Filters. [PDF]
Sensors (Basel), 2016 Visual tracking has extensive applications in intelligent monitoring and guidance systems. Among state-of-the-art tracking algorithms, Correlation Filter methods perform favorably in robustness, accuracy and speed.
Xu L, Luo H, Hui B, Chang Z.
europepmc +2 more sources