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Wavelet denoising of multiframe optical coherence tomography data

Markus A. Mayer, Anja Borsdorf, Martin Wagner, Joachim Hornegger, Christian Y. Mardin, Ralf P. Tornow
2012 Biomedical Optics Express  
A possible application of the proposed algorithm is preprocessing in retinal structure segmentation algorithms, to allow a better differentiation between real tissue information and unwanted speckle noise  ...  Instead it uses wavelet decompositions of the single frames for a local noise and structure estimation.  ...  Acknowledgement The authors gratefully acknowledge funding of the Erlangen Graduate School in Advanced Optical Technologies (SAOT) by the German Research Foundation (DFG) in the framework of the German  ... 
doi:10.1364/boe.3.000572 pmid:22435103 pmcid:PMC3296543 fatcat:xtwwngyiizb2xjdo2aqfyoo7h4

Split-attention Multiframe Alignment Network for Image Restoration

Yongyi Yu, Mingzhe Liu, Huajun Feng, Zhihai Xu, Qi Li
2020 IEEE Access  
Image registration (or image alignment), the problem of aligning multiple images with relative displacement, is a crucial step in many multiframe image restoration algorithms.  ...  Pixel-level displacements between multiple images are first estimated at low-resolution scales and then refined gradually with the increase in feature resolution.  ...  Some methods use motion compensation [10] , [17] , [63] networks to align images before restoring them, but they often neglect dealing with the ghosting effect, and the alignment accuracy is lower  ... 
doi:10.1109/access.2020.2967028 fatcat:yohbep22zvhgzmkc5q6zhpxr3m

Finite Deformation Guided Nonlinear Filtering for Multiframe Cardiac Motion Analysis [chapter]

C. L. Ken Wong, Pengcheng Shi
2004 Lecture Notes in Computer Science  
With the meshfree particle method providing the platform to enforce the anisotropic material property derived from the myofiber architecture, we present the first effort to perform multiframe cardiac motion  ...  Results from synthetic data with ground truth and canine cardiac image sequence are presented.  ...  In addition, multiframe analysis is also of paramount importance for cardiac motion recovery.  ... 
doi:10.1007/978-3-540-30135-6_109 fatcat:pqoauo6mjjexdpe7cmvoozjqye

Estimating mechanical properties of cloth from videos using dense motion trajectories: Human psychophysics and machine learning

Wenyan Bi, Peiran Jin, Hendrikje Nienborg, Bei Xiao
2018 Journal of Vision  
To provide further evidence for this finding, we extracted dense motion trajectories from the videos across 15 consecutive frames and used the trajectory descriptors to train a machine-learning model with  ...  A second experiment in which we scrambled the frame sequences diminished this correlation. This suggests that multiframe motion plays an important role.  ...  Specifically, we trained a machine-learning model with only features extracted from the multiframe motion fields of the videos.  ... 
doi:10.1167/18.5.12 pmid:29904787 fatcat:vogwqsvryvgnpaxf6sedtwslk4

Probabilistic and sequential computation of optical flow using temporal coherence

T.M. Chin, W.C. Karl, A.S. Willsky
1994 IEEE Transactions on Image Processing  
Experiments are presented to demonstrate that the resulting multiframe estimates are more robust to noise than those provided by the original, singleframe formulation.  ...  In addition, we demonstrate cases where the aperture problem of motion vision cannot be resolved satisfactorily without the temporal integration of data enabled by the proposed formulation.  ...  OPTICAL FLOW ESTIMATION We perceive motion by temporally tracking image intensity patterns that are often associated with reflections from the surfaces of objects in the scene.  ... 
doi:10.1109/83.336247 pmid:18296246 fatcat:chb4exvrh5hovlwktv2vksp4gi

Fast super-resolution using an adaptive Wiener filter with robustness to local motion

Russell C. Hardie, Kenneth J. Barnard
2012 Optics Express  
In our proposed robust approach, pixels from frames other than the reference that are inconsistent with the background motion model are detected and excluded from populating the HR grid.  ...  The AWF relies on registration to populate a common high resolution (HR) grid with samples from several frames.  ...  As with the simulated data, significant Moiré patterns from aliasing are visible. The translational multiframe AWF output with no local motion detection is shown in Fig. 9(b) .  ... 
doi:10.1364/oe.20.021053 pmid:23037229 fatcat:jk5nizvlybckdhmcwqob5ttwmi

Spatiotemporal Super-Resolution Reconstruction Based on Robust Optical Flow and Zernike Moment for Video Sequences

Meiyu Liang, Junping Du, Honggang Liu
2013 Mathematical Problems in Engineering  
The model does not rely on accurate estimation of subpixel motion and is robust to noise and rotation. Moreover, it can effectively overcome the problems of hole and block artifacts.  ...  First we propose an efficient robust optical flow motion estimation model based on motion details preserving, then we introduce the biweighted fusion strategy to implement the spatiotemporal motion compensation  ...  Finally in the third step, we introduce a stronger adaptive Kernel regression (AKR) deblurring mechanism [26] to deal with the blur, which is applied in the results of the second step of multiframe fusion  ... 
doi:10.1155/2013/745752 fatcat:u7a4hhkbefg27cu5yfjvqydxca

Extraction of high-resolution frames from video sequences

R.R. Schultz, R.L. Stevenson
1996 IEEE Transactions on Image Processing  
Finally, the video frame extraction algorithm is used for the motion compensated scan conversion of interlaced video data, with a visual comparison to the resolution enhancement obtained from progressively-scanned  ...  A novel observation model based on motion compensated subsampling is proposed for a video sequence.  ...  Previous research deals with some type of global displacement or rotation occurring between frames.  ... 
doi:10.1109/83.503915 pmid:18285187 fatcat:tc3hejta2zf6ficr3v7ahpo7gm

Detection of Independently Moving Objects in Non-planar Scenes via Multi-Frame Monocular Epipolar Constraint [chapter]

Soumyabrata Dey, Vladimir Reilly, Imran Saleemi, Mubarak Shah
2012 Lecture Notes in Computer Science  
We use a combination of optical flow and particle advection to capture all motion in the video across a number of frames, in the form of particle trajectories.  ...  Instead we utilize a multiframe monocular epipolar constraint of camera motion derived for monocular moving cameras defined by an evolving epipolar plane between the moving camera center and 3D scene points  ...  As outlined in section 5, motion segmentation based on the fundamental matrix suffers from stability problems related to baseline selection, noise, and motion of the camera.  ... 
doi:10.1007/978-3-642-33715-4_62 fatcat:7k7ois2pord5zazio6bfvypgcy

Adaptive regularized image interpolation using data fusion and steerable constraints

Jeong-Ho Shin, Joon-Ki Paik, Jeffery R. Price, Mongi A. Abidi, Bernd Girod, Charles A. Bouman, Eckehard G. Steinbach
2000 Visual Communications and Image Processing 2001  
In addition, by combining spatially adaptive constraints, directional high frequency components are preserved with efficiently suppressed noise.  ...  This paper presents an adaptive regularized image interpolation algorithm from blurred and noisy low resolution image sequence, which is developed in a general framework based on data fusion.  ...  Figure 2 . 2 The structure of the proposed multiframe image interpolation.  ... 
doi:10.1117/12.411861 fatcat:ppt5dqxrm5crlcwv46hokvn6yi

A noniterative greedy algorithm for multiframe point correspondence

K. Shafique, M. Shah
2005 IEEE Transactions on Pattern Analysis and Machine Intelligence  
In addition, the proposed algorithm deals with the problems of occlusion, missed detections, and false positives by using a single noniterative greedy optimization scheme and, hence, reduces the complexity  ...  The general problem of multiframe point correspondence is NP-hard for three or more frames.  ...  This research was partially funded by a grant from Lockheed Martin Corporation.  ... 
doi:10.1109/tpami.2005.1 pmid:15628268 fatcat:iscdktdhhfa6nngnflkmylu6aa

A non-iterative greedy algorithm for multi-frame point correspondence

Shafique, Shah
2003 Proceedings Ninth IEEE International Conference on Computer Vision  
In addition, the proposed algorithm deals with the problems of occlusion, missed detections, and false positives by using a single noniterative greedy optimization scheme and, hence, reduces the complexity  ...  The general problem of multiframe point correspondence is NP-hard for three or more frames.  ...  This research was partially funded by a grant from Lockheed Martin Corporation.  ... 
doi:10.1109/iccv.2003.1238321 dblp:conf/iccv/ShafiqueS03 fatcat:beeqfhwhhnbinhh3u63ztvrmiq

Rigid and Nonrigid Motion Analysis: Robust Recovery of 3-D Structure and Motion

Hiroyuki Morikawa, Hiroshi Harashima
1990 IAPR International Workshop on Machine Vision Applications  
This paper presents an incremental approach to understanding 3D structure and motion of rigid as well as nonrigid objects from image sequences. To be applicable to natural imagery like TV signals, the  ...  However, the rigidity assumption and 2-3 view approach can be sensitive to noise[5], and clearly is inappropriate when dealing with deformable objects.  ...  In this paper we consider the problem of computing the structure and motion of objects in a scene from a sequence of images.  ... 
dblp:conf/mva/MorikawaH90 fatcat:tjlbqskotnb6fhx2nzzwzxlhhu

Ship identification in sequential ISAR imagery

Atsuto Maki, Kazuhiro Fukui
2004 Machine Vision and Applications  
In the system, in order to cope with the invariable noise due to the physics of imaging, we propose to employ a multiframe image processing algorithm that stably extracts profiling as a basic feature reflecting  ...  We have developed an online system that automatically identifies ships observed in a rapidly updating sequence of range-Doppler images produced by inverse synthetic aperture radar (ISAR).  ...  Introduction In this paper we deal with automatic identification of ships in images produced by inverse synthetic aperture radar (ISAR).  ... 
doi:10.1007/s00138-004-0140-y fatcat:ccjv4msh7feorgojf5wklp2xwy

Infrared Dim and Small Targets Detection Method Based on Local Energy Center of Sequential Image

Xiangsuo Fan, Zhiyong Xu, Jianlin Zhang, Yongmei Huang, Zhenming Peng
2017 Mathematical Problems in Engineering  
In order to detect infrared (IR) dim and small targets in a strong clutter background, a method based on local energy center of sequential image is proposed.  ...  ratio of images; when the signal-noise ratio (SNR) is lower than 2.5 dB, the proposed method could effectively eliminate noise and detect targets.  ...  a multiframe motion correlation detection algorithm.  ... 
doi:10.1155/2017/4572147 fatcat:4kac5b4fqncurgpd7bykbh3o6m
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