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Efficient and Consistent Recursive Filtering of Images with Reflective Extension [chapter]

Ben Appleton, Hugues Talbot
2003 Lecture Notes in Computer Science  
This yields a filtering which is both stable and consistent with the ideal infinite extension. The filter is efficient, requiring the same order of computation as the standard recursive filtering.  ...  We begin with an analysis of reflective extensions and their effect on nonrecursive filtering operators.  ...  The author would like to thank Peter Kootsookos of the University of Queensland and David Chan and Carolyn Evans of CSIRO Mathematical and Information Sciences for interesting discussions and assistance  ... 
doi:10.1007/3-540-44935-3_49 fatcat:ybh7hegmmvbajhssispfhrzu4u

Motion-Compensated Wavelet Video Denoising [chapter]

Fu Jin, Paul Fieguth, Lowell Winger
2004 Lecture Notes in Computer Science  
Kalman filtering is then applied to the wavelet coefficients along motion trajectories to efficiently suppress noise.  ...  We justify the proposed approach by evaluating the relative increase of mean squared error (MSE) with respect to the optimal estimator.  ...  For autoregressive models the optimal estimator can be achieved recursively. Motion information can be efficiently exploited with recursive filtering. A.  ... 
doi:10.1007/978-3-540-30125-7_71 fatcat:peyhuk4gjzhsxfcu72mqhzwcby

Modified stability table for 2-D digital filters

E.I. Jury
1988 IEEE Transactions on Circuits and Systems  
This paper is concerned with the development of a 2-D adaptive Kalman filtering by recursive adjustment of the parameters of an autoregressive (AR) image model with non symmetric half-plane (NSHP) region  ...  In this paper, a 2-D recursive parameter identification process is derived using the 2-D extension of the stochastic Newton approach [10] which can be used to estimate the parameters of an AR model with  ...  The current "local state" vector of size (2M 2 +2M + l)x 1 consists of all the pixels in the ROS, W, of the model. This is Manuscript  ... 
doi:10.1109/31.1707 fatcat:alwrwg5l2jegxom3jtq3r55dky

A 92-mW Real-Time Traffic Sign Recognition System With Robust Illumination Adaptation and Support Vector Machine

Junyoung Park, Joonsoo Kwon, Jinwook Oh, Seungjin Lee, Joo-Young Kim, Hoi-Jun Yoo
2012 IEEE Journal of Solid-State Circuits  
In the Retinex preprocessor, the recursive Gaussian engine (RGE) and reflectance engine (RE) exploit parallelism of the MSR tasks with a two-stage pipeline, and a mixed-mode scale generator (SG) with adaptive  ...  It is composed of a Retinex preprocessor and an SVM processor.  ...  RGE performs recursive Gaussian filtering with low hardware overhead as the parameters of the Gaussian filter are changing [13] . After Gaussian filtering, RE executes the reflectance acquisition.  ... 
doi:10.1109/jssc.2012.2211691 fatcat:x7dztspi3repljqc5ywnwgsugm

Progressive change detection in time series of SAR images

Gregoire Mercier
2010 2010 IEEE International Geoscience and Remote Sensing Symposium  
Results are shown with a two-date change detection from RADARSAT images and from a time series of ERS and ENVISAT images.  ...  The recursive median filtering leads to simple change indicators that are more efficient than the Kullback-Leibler change indicator when using small analysing sliding window.  ...  Fig. 1 . 1 Typical example of frequency response of filter (7) with a central pulsation of ω 0 = π/3, with a filter length of N = 4.  ... 
doi:10.1109/igarss.2010.5652452 dblp:conf/igarss/Mercier10 fatcat:nqiblxdvmrcrxatkqahmjij2ee

Algorithms for morphological profile filters and their comparison

Shan Lou, Xiangqian Jiang, Paul J. Scott
2012 Precision engineering  
With minor extension, they could be used to compute morphological filters.  ...  Morphological filters, regarded as the complement of mean-line based filters, are useful in the analysis of surface texture and the prediction of functional performance.  ...  The authors gratefully acknowledge the European Research Council for its "Ideal Specific programme" ERC-2008-AdG 228117-Surfund and the UK research council for its "manufacturing the future" program on  ... 
doi:10.1016/j.precisioneng.2012.01.003 fatcat:xqzgxvzpcfg6haxm3g324nweua

Image representations using multiscale differential operators

Yu-Ping Wang
1999 IEEE Transactions on Image Processing  
His current research interests include computer vision, signal analysis and various applications of wavelets, partial differential equations, fractals, and splines.  ...  systems, both from Xi'an Jiaotong where he works on medical image analysis.  ...  The complexity of approach is and hence an improvement over the recursive algorithms (26) and (33) with the complexity . IV. EXTENSION TO 2-D IMAGES A.  ... 
doi:10.1109/83.806621 pmid:18267452 fatcat:fndttfsngbdhrnumwdepok2pfy

A recursive extrapolation approach to intra prediction in video coding

Yue Chen, Jingning Han, Kenneth Rose
2013 2013 IEEE International Conference on Acoustics, Speech and Signal Processing  
This viewpoint motivates the design of a set of prediction modes represented by three-tap extrapolation filters, which replace the standard "pixel-copying" prediction modes, and provide efficient prediction  ...  Coefficients for the set of mode filters are first trained by an efficient "k-modes" iterative technique designed to monotonically decrease the mean squared prediction error, and are then adjusted to directly  ...  Our proposed recursive extrapolation filter effectively accounts for the variations of correlations across the pixel block and specifically for non-separability and correlation decay with distance, thereby  ... 
doi:10.1109/icassp.2013.6637949 dblp:conf/icassp/ChenHR13 fatcat:hvj2yot3ajhm5ny77vwvosa6d4

Maximum likelihood extension for non-circulant deconvolution

Javier Portilla
2014 2014 IEEE International Conference on Image Processing (ICIP)  
Tapering the boundaries of the image support, or similar strategies (like constrained diffusion), provides smoothness on the toroidal support; however this does not guarantee consistency with the spectral  ...  Classic boundary extension techniques fail to provide likely results, in terms of a circular boundary-condition observation model.  ...  after being reflected); and (2) the lack of vertical/horizontal symmetry of the blurring kernel, which provokes that the mirrored extensions can no longer be described as filtered by the same kernel.  ... 
doi:10.1109/icip.2014.7025868 dblp:conf/icip/Portilla14 fatcat:w2k527j3vvbuhajstojrbapl2q

An Improved Stereo Matching Algorithm with Ground Plane and Temporal Smoothness Constraints [chapter]

Cevahir Çığla, A. Aydın Alatan
2012 Lecture Notes in Computer Science  
For this purpose, one of the most efficient local stereo matching techniques, namely permeability filter, is modified in terms of road plane geometry and temporal consistency in order to take the major  ...  Relaxing smoothness assumption of the permeability filter along vertical axis enables extraction of road geometry with high accuracy, even for the cases where ground plane does not contain sufficient textural  ...  Therefore, data from the last reliable frame is transferred to the frames involving severe flares, reflections and sudden large occlusions as soon as a consistent frame is encountered with similar histogram  ... 
doi:10.1007/978-3-642-33868-7_14 fatcat:vzjllfvlszafbcoeijnsagqjvq

Recursive Autoconvolution for Unsupervised Learning of Convolutional Neural Networks [article]

Boris Knyazev, Erhardt Barth, Thomas Martinetz
2017 arXiv   pre-print
In visual recognition tasks, such as image classification, unsupervised learning exploits cheap unlabeled data and can help to solve these tasks more efficiently.  ...  We evaluate our networks on the MNIST, CIFAR-10, CIFAR-100 and STL-10 image classification benchmarks and report several state of the art results among other unsupervised methods.  ...  ACKNOWLEDGMENT This work is jointly supported by the German Academic Exchange Service (DAAD) and the Ministry of Education and Science of the Russian Federation (project number 3708).  ... 
arXiv:1606.00611v2 fatcat:andmhmeezbdf5oatnfdl4l4nne

Recursive Training of 2D-3D Convolutional Networks for Neuronal Boundary Detection [article]

Kisuk Lee, Aleksandar Zlateski, Ashwin Vishwanathan, H. Sebastian Seung
2015 arXiv   pre-print
Our hybrid 2D-3D architecture could be more generally applicable to other types of anisotropic 3D images, including video, and our recursive framework for any image labeling problem.  ...  Finally, we adopt a recursively trained architecture in which a first network generates a preliminary boundary map that is provided as input along with the original image to a second network that generates  ...  Tapia, Gloria Choi and Dan Stettler for initial help with tissue handling and Jeff Lichtman and Richard Schalek with help in setting up tape collection.  ... 
arXiv:1508.04843v1 fatcat:hxsenaejabbifissu5efnciyoe

Extension: Adaptive Sampling with Implicit Radiance Field [article]

Yuchi Huo
2022 arXiv   pre-print
This manuscript discusses the extension of adaptive light field sampling with implicit radiance fields.  ...  The training dataset consists of 20 different scenes with randomly generated viewpoints and randomly modified scene lighting, materials and textures, resulting in a total of about 300 scenes.  ...  In real-time rendering applications that require interactive frame rates, biased image spatial filtering (for displaying a single image) and light field spatial filtering (for displaying light fields)  ... 
arXiv:2202.00855v3 fatcat:iqyx2le56ramdkqqwy6pwnpeim

Hierarchical Recursive Running Median [article]

Alexander Alekseychuk
2012 arXiv   pre-print
To date, the histogram-based running median filter of Perreault and H\'ebert is considered the fastest for 8-bit images, being roughly O(1) in average case.  ...  algorithm for calculation of 2D and higher dimensional median filters.  ...  ACKNOWLEDGMENTS This work was done during author's engagement at the Computer Vision and Remote Sensing Group of Technische Universität Berlin.  ... 
arXiv:1105.3829v3 fatcat:ofxqfu53brchbfq2sr5ot5vege

Quantitative fluoroscopic dose saving in cardiovascular imaging with a novel motion discriminating temporal filter

R.M. Manjeshwar, P.J. Dhawale
2005 Computers in Cardiology, 2005  
The results demonstrate the importance of optimal temporal filtering for maximizing device visibility, and for achieving maximum x-ray dose efficiency.  ...  Temporal recursive filters commonly used for fluoroscopic noise reduction blur moving objects and compromise device visibility.  ...  Temporal image processing has proved its value in fluoroscopy for many years. Simple temporal recursive filtering has been extensively used in fluoroscopy of objects with minimal motion.  ... 
doi:10.1109/cic.2005.1588078 fatcat:2a5losgmtnanfehclnnlqa4aa4
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