Results 31 to 40 of about 2,159,265 (282)
A Deconvolutional Deblurring Algorithm Based on Dual-Channel Images
Applied Sciences, 2022 Aiming at the motion blur restoration of large-scale dual-channel space-variant images, this paper proposes a dual-channel image deblurring method based on the idea of block aggregation, by studying imaging principles and existing algorithms.
Yang Bai +4 more
doaj +1 more source
Blur kernel estimation using normalized color-line priors [PDF]
2015 IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2015 This paper proposes a single-image blur kernel estimation algorithm that utilizes the normalized color-line prior to restore sharp edges without altering edge structures or enhancing noise. The proposed prior is derived from the color-line model, which has been successfully applied to non-blind deconvolution and many computer vision problems.
Wei-Sheng Lai +3 more
openaire +2 more sources
A motion parameters estimating method based on deep learning for visual blurred object tracking
IET Image Processing, 2021 Tracking the specific object in the blurred scenes is one of the challenging problems in computer vision and image processing. The accuracy and performance of trackers within the blur frames usually demonstrate a severe decrease.
Iman Iraei, Karim Faez
doaj +1 more source
Blind Deconvolution with Scale Ambiguity
Applied Sciences, 2020 Recent years have witnessed significant advances in single image deblurring due to the increasing popularity of electronic imaging equipment. Most existing blind image deblurring algorithms focus on designing distinctive image priors for blur kernel ...
Wanshu Fan +3 more
doaj +1 more source
Snapshot Spatiotemporal‐Spectral Imaging Enabled by Joint Photonic Encoding [PDF]
Advanced scienceSpectra4D enables snapshot spatiotemporal‐spectral imaging by combining high‐speed DMD temporal modulation with CMOS‐integrated Fabry‐Pérot spectral encoding. From a single 2D measurement, a dual‐mask‐guided reconstruction network recovers multiple time‐resolved hyperspectral frames, enabling high‐fidelity observation of rapidly evolving spatial ...
Chen C +11 more
europepmc +2 more sources
Combining Motion Compensation with Spatiotemporal Constraint for Video Deblurring
Sensors, 2018 We propose a video deblurring method by combining motion compensation with spatiotemporal constraint for restoring blurry video caused by camera shake.
Jing Li, Weiguo Gong, Weihong Li
doaj +1 more source
Remote Sensing, 2023 The novel rotating synthetic aperture (RSA) is a new optical imaging system that uses the method of rotating the rectangular primary mirror for dynamic imaging.
Yu Sun +5 more
doaj +1 more source
A Self-adaptive Learning Method for Motion Blur Kernel Estimation of the Single Image
, 2022 Art. 168023, 11 S.The estimation of blur kernel is the first and principal steps in the deconvolution of single blurred image. The quality of image restoration highly depends on its estimation accuracy.
Hao, Xingxing +5 more
core +1 more source
IEEE Access, 2021 With the development of computational photography, single-lens camera combined with corresponding image deblurring algorithm is gradually becoming a new research direction, replacing complex modern optical imaging system such as single lens reflex (SLR ...
Dazhi Zhan +4 more
doaj +1 more source
Edge-based blur kernel estimation using patch priors [PDF]
IEEE International Conference on Computational Photography (ICCP), 2013 Blind image deconvolution, i.e., estimating a blur kernel k and a latent image x from an input blurred image y, is a severely ill-posed problem. In this paper we introduce a new patch-based strategy for kernel estimation in blind deconvolution. Our approach estimates a “trusted” subset of x by imposing a patch prior specifically tailored towards ...
Libin Sun +3 more
openaire +2 more sources