Results 31 to 40 of about 20,368 (248)
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
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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
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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
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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.
null Wei-Sheng Lai +3 more
openaire +1 more source
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
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Progressive Transient Photon Beams [PDF]
, 2018 In this work we introduce a novel algorithm for transient rendering in participating media. Our method is consistent, robust, and is able to generate animations of time-resolved light transport featuring complex caustic light paths in media.
Bell G. I. +17 more
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Understanding Kernel Size in Blind Deconvolution
, 2019 Most blind deconvolution methods usually pre-define a large kernel size to guarantee the support domain. Blur kernel estimation error is likely to be introduced, yielding severe artifacts in deblurring results.
Ren, Dongwei, Si-Yao, Li, Yin, Qian
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Joint Blind Motion Deblurring and Depth Estimation of Light Field
, 2018 Removing camera motion blur from a single light field is a challenging task since it is highly ill-posed inverse problem. The problem becomes even worse when blur kernel varies spatially due to scene depth variation and high-order camera motion.
A Beck +12 more
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Deep Eyes: Binocular Depth-from-Focus on Focal Stack Pairs
, 2020 Human visual system relies on both binocular stereo cues and monocular focusness cues to gain effective 3D perception. In computer vision, the two problems are traditionally solved in separate tracks.
A Newell +10 more
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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
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