Motion-blurred star image restoration based on multi-frame superposition under high dynamic and long exposure conditions
Sign Up to like & getrecommendations! Published in 2020 at "Journal of Real-Time Image Processing"
DOI: 10.1007/s11554-020-00965-0
Abstract: Under high dynamic and long exposure conditions, the number of recognized stars on motion-blurred star images decreases, thereby degrading the attitude accuracy of star sensors. To improve the attitude accuracy, a restoration method based on… read more here.
Keywords: frame superposition; restoration; based multi; star ... See more keywords
Double sparsity for multi-frame super resolution
Sign Up to like & getrecommendations! Published in 2017 at "Neurocomputing"
DOI: 10.1016/j.neucom.2017.02.043
Abstract: A number of image super resolution algorithms based on the sparse coding have successfully implemented multi-frame super resolution in recent years. In order to utilize multiple low-resolution observations, both accurate image registration and sparse coding… read more here.
Keywords: resolution; super resolution; frame super; multi frame ... See more keywords
Probabilistic seismic assessment of as-built and retrofitted old and newly designed skewed multi-frame bridges
Sign Up to like & getrecommendations! Published in 2019 at "Soil Dynamics and Earthquake Engineering"
DOI: 10.1016/j.soildyn.2019.01.013
Abstract: Abstract This paper presents a probabilistic seismic assessment of older and newly-designed skewed multi-frame reinforced concrete box-girder bridges in California. The overall system and individual components fragility curves were developed for both older and new… read more here.
Keywords: newly designed; probabilistic seismic; multi frame; designed skewed ... See more keywords
Investigation of multi-frame image super-resolution based on adaptive self-learning methods
Sign Up to like & getrecommendations! Published in 2017 at "Journal of Modern Optics"
DOI: 10.1080/09500340.2016.1210249
Abstract: ABSTRACT The goal of this paper is to introduce and demonstrate a new high-performance super-resolution (SR) method for multi-frame images. By combining learning-based and reconstruction-based SR methods, this paper proposes a multi-frame image super-resolution method… read more here.
Keywords: resolution; image; self learning; super resolution ... See more keywords
Multi-frame image restoration method for Luojia 1-01 night-light remote sensing images
Sign Up to like & getrecommendations! Published in 2021 at "Journal of Spatial Science"
DOI: 10.1080/14498596.2021.1930593
Abstract: To address blur and noise issues caused by airlight and atmospheric scattering in nighttime imaging environment, we proposed a multi-frame image restoration method. First, the Luojia 1–01 night-lig... read more here.
Keywords: frame image; image restoration; luojia night; restoration method ... See more keywords
Contributing factors to seismic force demand on in-span shear keys in multi-frame bridges
Sign Up to like & getrecommendations! Published in 2019 at "Structure and Infrastructure Engineering"
DOI: 10.1080/15732479.2018.1527372
Abstract: Abstract In-span hinge shear keys are critical to the transverse seismic performance of multi-frame bridges2. The demand parameters of in-span shear keys such as the bridge geometry, relative stiffness of adjacent frames, ground motion characteristics,… read more here.
Keywords: span shear; design; demand; force ... See more keywords
Multi-Frame Pyramid Refinement Network for Video Frame Interpolation
Sign Up to like & getrecommendations! Published in 2019 at "IEEE Access"
DOI: 10.1109/access.2019.2940510
Abstract: Video frame interpolation aims at synthesizing new video frames in-between existing frames to generate higher frame rate video. Current methods usually use two adjacent frames to generate intermediate frames, but sometimes fail to handle challenges… read more here.
Keywords: video; frame; multi frame; frame interpolation ... See more keywords
Multi-Frame Super-Resolution Algorithm Based on a WGAN
Sign Up to like & getrecommendations! Published in 2021 at "IEEE Access"
DOI: 10.1109/access.2021.3088128
Abstract: Image super-resolution reconstruction has been widely used in remote sensing, medicine and other fields. In recent years, due to the rise of deep learning research and the successful application of convolutional neural networks in the… read more here.
Keywords: reconstruction; resolution; high frequency; super resolution ... See more keywords
Multi-Frame Compressed Video Quality Enhancement by Spatio-Temporal Information Balance
Sign Up to like & getrecommendations! Published in 2023 at "IEEE Signal Processing Letters"
DOI: 10.1109/lsp.2023.3244711
Abstract: In recent years, the performance of multi-frame quality enhancement algorithms for compressed videos has been greatly improved compared with single-frame based algorithms. However, the existing methods mainly focus on mining the temporal information of multiple… read more here.
Keywords: information; temporal information; enhancement; multi frame ... See more keywords
A Deep Learning Approach for Multi-Frame In-Loop Filter of HEVC
Sign Up to like & getrecommendations! Published in 2019 at "IEEE Transactions on Image Processing"
DOI: 10.1109/tip.2019.2921877
Abstract: An extensive study on the in-loop filter has been proposed for a high efficiency video coding (HEVC) standard to reduce compression artifacts, thus improving coding efficiency. However, in the existing approaches, the in-loop filter is… read more here.
Keywords: multi frame; frame; loop filter; filter hevc ... See more keywords
Greedy Integration Based Multi-Frame Detection Algorithm in Radar Systems
Sign Up to like & getrecommendations! Published in 2023 at "IEEE Transactions on Vehicular Technology"
DOI: 10.1109/tvt.2022.3232785
Abstract: In this paper, we address the problem of detection and tracking of dim targets in radar systems through the use of multi-frame detection (MFD) techniques. We first study the energy expansion problem during multi-frame integration… read more here.
Keywords: radar systems; multi frame; detection; integration ... See more keywords