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Estimation Of Motion Blur Point Spread Function From Differently Exposed Image Frames

Marius Tico, Markku Vehvilainen
2006 Zenodo  
Publication in the conference proceedings of EUSIPCO, Florence, Italy, 2006  ...  In general, if the point spread function (PSF) of the motion blur is known the original image could be restored up to some level of accuracy, by applying an image restoration approach [1] .  ...  Table 1 : Image restoration performance for different noise levels in the low exposed image, and different motion blur PSFs in the high exposed image.  ... 
doi:10.5281/zenodo.52798 fatcat:m6j5a4vubvbl7khcydq64vqhia

Image Stabilization Based on Fusing the Visual Information in Differently Exposed Images

Marius Tico, Markku Vehvilainen
2007 Proceedings of IEEE international conference on image processing  
The objective of image stabilization is to prevent or remove the motion blur degradation from images.  ...  We introduce a new approach to image stabilization based on combining information available in two differently exposed images of the same scene.  ...  In our previous work [7] , we presented an approach to motion blur PSF (point spread function) identification based on two differently exposed image frames.  ... 
doi:10.1109/icip.2007.4378905 dblp:conf/icip/TicoV07 fatcat:qq3lwe25vzefpkoivvruog2b3y

Motion deblurring based on fusing differently exposed images

Marius Tico, Markku Vehvilainen, Russel A. Martin, Jeffrey M. DiCarlo, Nitin Sampat
2007 Digital Photography III  
The method presented in this paper estimates the motion blur point spread function (PSF) that models the degradation of the normal-exposed image, following to recover the image of the scene by deconvolution  ...  Motion blur PSF estimation is carried out by exploiting the difference between the degradation models of the two images, as well as certain prior assumptions about a typical motion blur PSF.  ...  The method presented in this paper estimates the motion blur point spread function (PSF) that might have been degraded the normal-exposed image, following then to restore this image by applying an image  ... 
doi:10.1117/12.703494 dblp:conf/dphoto/TicoV07 fatcat:nb4bwt6vjndhvlrcavu2vrrinu

A Novel Motion Blur Resistant vSLAM Framework for Micro/Nano-UAVs

Buğra ŞİMŞEK, Hasan Şakir BİLGE
2021 Drones  
In the proposed framework, the blur level of the frames obtained from the platform camera is determined and the frames whose focus measure score is below the threshold are restored by specific motion-deblurring  ...  Above a certain level of motion blur, tracking losses exist, which causes vSLAM algorithms not to operate effectively.  ...  Similarly, in another study [28] , a feature matcher method has been presented for humanoid robots by using point spread function estimation, which is robust to the motion blur effects originating from  ... 
doi:10.3390/drones5040121 fatcat:5lvt2x7otrfyxlnepkmc5c7rju

High-resolution image reconstruction from multiple differently exposed images

B.K. Gunturk, M. Gevrekci
2006 IEEE Signal Processing Letters  
Index Terms-Bayesian estimation, high-dynamic range imaging, multi-frame image reconstruction, super-resolution.  ...  Super-resolution reconstruction is the process of reconstructing a high-resolution image from multiple low-resolution images.  ...  The imaging process is formulated as (1) where is the linear mapping that includes motion (of the camera and the objects in the scene), blur (caused by the point spread function of the sensor elements  ... 
doi:10.1109/lsp.2005.863693 fatcat:2ywfqmwrmnek7cbihlsx6mlvpy

Adaptive block-based approach to image stabilization

Marius Tico
2008 2008 15th IEEE International Conference on Image Processing  
Due to their short exposure, the individual frames are noisy, but they are less corrupted by motion blur than it would be a single long exposed frame.  ...  The objective of image stabilization is to prevent image blurring caused by the relative motion between the camera and the scene during the image integration time.  ...  If the blur point spread function (PSF) is known then the original image of the scene can be restored, to some extent, by applying an image deconvolution routine .  ... 
doi:10.1109/icip.2008.4711806 dblp:conf/icip/Tico08 fatcat:vsgibbxvavgihgxx4swqjzg2fy

Motion field and occlusion time estimation via alternate exposure flow

Anita Sellent, Martin Eisemann, Marcus Magnor
2009 2009 IEEE International Conference on Computational Photography (ICCP)  
While traditional optical flow algorithms rely on consecutive short-exposed images only, longexposed images capture motion directly in the form of motion blur.  ...  We describe the application of AEF in frame interpolation to demonstrate the advantage of the additional long exposure information. Apart from circumventing the problem of temporal alias-  ...  A combination of short-time and long-time exposures has been used in the context of image restoration: Tico and Vehvilainen model motion blur as a convolution with a spatially invariant point-spread-function  ... 
doi:10.1109/iccphot.2009.5559005 fatcat:lqtejof6yzbjvlv72bdlb2tnri

Multi-Shot Deblurring for 3D Scenes

M. Arun, A. N. Rajagopalan, Gunasekaran Seetharaman
2015 2015 IEEE International Conference on Computer Vision Workshop (ICCVW)  
We initially describe an iterative algorithm to estimate ego motion in 3D scenes by suitably harnessing the point spread functions across the blurred images at different spatial locations.  ...  In this paper, we address the inverse rendering problem of estimating the latent image, scene depth and camera motion from a set of differently blurred images of the scene.  ...  Acknowledgments A part of this work was supported by a grant from the Asian Office of Aerospace Research and Development, AOARD/AFOSR. The support is gratefully acknowledged.  ... 
doi:10.1109/iccvw.2015.37 dblp:conf/iccvw/ArunRS15 fatcat:mblykwvcvzgzrpshhhtgkruhme

Full-3D Edge Tracking with a Particle Filter

G. Klein, D. W. Murray
2006 Procedings of the British Machine Vision Conference 2006  
This approach allows video-rate filtering with hundreds of particles on a standard workstation.  ...  In contrast to previous methods this system is capable of tracking complex self-occluding three-dimensional structures.  ...  This algorithm attempts estimate camera rotation from the structure of motion blur present in a video image, with low computational overhead (2-3ms).  ... 
doi:10.5244/c.20.114 dblp:conf/bmvc/KleinM06 fatcat:q7od3hcoyrbcrelacnaidnzhee

Inferring changes in intrinsic parameters from motion blur

Alastair Barber, Matthew Brown, Paul Hogbin, Darren Cosker
2015 Computers & graphics  
Estimating changes in camera parameters, such as motion, focal length and exposure time over a single frame or sequence of frames is an integral part of many computer vision applications.  ...  Rapid changes in these parameters often cause motion blur to be present in an image, which can make traditional methods of feature identification and tracking difficult.  ...  An improvement on this method for future work could be to design and use a Point Spread Function more closely matched to that of the expected motion blur in the place of the Gaussian blur kernel.  ... 
doi:10.1016/j.cag.2015.05.022 fatcat:7bv43aptybegvixjl5jmqm3imu

ISNR measure on deblurred blind images using Weiner filter

2016 Revista Técnica de la Facultad de Ingeniería Universidad del Zulia  
Inappropriately, if the shutter speed is excessively slow and the camera is in motion, a given pixel will be an amalgam of concentrations from points along the line of the camera's motion.  ...  For each pixel in a digital representation of the photograph should represent the intensity of a single stationary point in front of the camera.  ...  Create a point-spread function, PSF, conforming to the linear motion across 31 pixels, at an angle of 11 degrees.  ... 
doi:10.21311/ fatcat:5thfatbqvzgpxb4bfm4tsl6r6u

Real-Time Robust Tracking for Motion Blur and Fast Motion via Correlation Filters

Lingyun Xu, Haibo Luo, Bin Hui, Zheng Chang
2016 Sensors  
We theoretically analyze the problem for CFs towards motions and utilize the point sharpness function of the target patch to evaluate the motion state of target.  ...  By fusing KCF and STC trackers, our algorithm also solve the estimation of scale variation in many scenarios.  ...  Conflicts of Interest: The authors declare no conflict of interest. Sensors 2016, 16, 1443  ... 
doi:10.3390/s16091443 pmid:27618046 pmcid:PMC5038721 fatcat:62avxpfi4vb3zkaoudprkzx5d4

Digital Image Stabilization [chapter]

Marius Tico
2009 Recent Advances in Signal Processing  
If the point spread function (PSF) of the motion blur is known then the original image can be restored, up to some level of accuracy (determined by the lost spatial frequencies), by applying an image restoration  ...  Using this technique the effect of camera motion is transformed from a motion blur degradation into a misalignment between several image frames.  ... 
doi:10.5772/7458 fatcat:qzdsayj3jvd4hofl7ik4acgkk4

Two Algorithms for Motion Estimation from Alternate Exposure Images [chapter]

Anita Sellent, Martin Eisemann, Marcus Magnor
2011 Lecture Notes in Computer Science  
In this work we compare two approaches that use an additional, motion-blurred image of a scene to estimate highly accurate, dense correspondence fields.  ...  For both motion estimation algorithms we employ an image formation model that relates the motion blurred image to two enframing short-exposure images.  ...  Acknowledgements The authors gratefully acknowledge funding by the German Science Foundation from project DFG MA2555/4-1.  ... 
doi:10.1007/978-3-642-24870-2_2 fatcat:lfzecvt2sreojey6iu66cm3xpu

Pixel-Wise Motion Deblurring of Thermal Videos [article]

Manikandasriram Srinivasan Ramanagopal, Zixu Zhang, Ram Vasudevan, Matthew Johnson-Roberson
2020 arXiv   pre-print
Despite this ability to see in the dark, these sensors suffer from significant motion blur. This has limited their application on robotic systems.  ...  As described in this paper, this motion blur arises due to the thermal inertia of each pixel.  ...  ACKNOWLEDGMENTS This work was supported by a grant from Ford Motor Company via the Ford-UM Alliance under award N022884.  ... 
arXiv:2006.04973v1 fatcat:6cm7a5y24jarnbj23mawgftx5m
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