Deconvolution

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In mathematics, deconvolution is an algorithm-based process used to reverse the effects of convolution on recorded data. (Wikipedia.org)






Conferences related to Deconvolution

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2020 IEEE International Symposium on Antennas and Propagation and North American Radio Science Meeting

The joint meeting is intended to provide an international forum for the exchange of information on state of the art research in the area of antennas and propagation, electromagnetic engineering and radio science


2020 42nd Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC)

The conference program will consist of plenary lectures, symposia, workshops and invitedsessions of the latest significant findings and developments in all the major fields of biomedical engineering.Submitted papers will be peer reviewed. Accepted high quality papers will be presented in oral and postersessions, will appear in the Conference Proceedings and will be indexed in PubMed/MEDLINE


2020 IEEE 17th International Symposium on Biomedical Imaging (ISBI 2020)

The IEEE International Symposium on Biomedical Imaging (ISBI) is the premier forum for the presentation of technological advances in theoretical and applied biomedical imaging. ISBI 2020 will be the 17th meeting in this series. The previous meetings have played a leading role in facilitating interaction between researchers in medical and biological imaging. The 2020 meeting will continue this tradition of fostering cross-fertilization among different imaging communities and contributing to an integrative approach to biomedical imaging across all scales of observation.

  • 2019 IEEE 16th International Symposium on Biomedical Imaging (ISBI)

    The IEEE International Symposium on Biomedical Imaging (ISBI) is the premier forum for the presentation of technological advances in theoretical and applied biomedical imaging.ISBI 2019 will be the 16th meeting in this series. The previous meetings have played a leading role in facilitating interaction between researchers in medical and biological imaging. The 2019 meeting will continue this tradition of fostering cross fertilization among different imaging communities and contributing to an integrative approach to biomedical imaging across all scales of observation.

  • 2018 IEEE 15th International Symposium on Biomedical Imaging (ISBI 2018)

    The IEEE International Symposium on Biomedical Imaging (ISBI) is the premier forum for the presentation of technological advances in theoretical and applied biomedical imaging. ISBI 2018 will be the 15th meeting in this series. The previous meetings have played a leading role in facilitating interaction between researchers in medical and biological imaging. The 2018 meeting will continue this tradition of fostering crossfertilization among different imaging communities and contributing to an integrative approach to biomedical imaging across all scales of observation.

  • 2017 IEEE 14th International Symposium on Biomedical Imaging (ISBI 2017)

    The IEEE International Symposium on Biomedical Imaging (ISBI) is the premier forum for the presentation of technological advances in theoretical and applied biomedical imaging. ISBI 2017 will be the 14th meeting in this series. The previous meetings have played a leading role in facilitating interaction between researchers in medical and biological imaging. The 2017 meeting will continue this tradition of fostering crossfertilization among different imaging communities and contributing to an integrative approach to biomedical imaging across all scales of observation.

  • 2016 IEEE 13th International Symposium on Biomedical Imaging (ISBI 2016)

    The IEEE International Symposium on Biomedical Imaging (ISBI) is the premier forumfor the presentation of technological advances in theoretical and applied biomedical imaging. ISBI 2016 willbe the thirteenth meeting in this series. The previous meetings have played a leading role in facilitatinginteraction between researchers in medical and biological imaging. The 2016 meeting will continue thistradition of fostering crossfertilization among different imaging communities and contributing to an integrativeapproach to biomedical imaging across all scales of observation.

  • 2015 IEEE 12th International Symposium on Biomedical Imaging (ISBI 2015)

    The IEEE International Symposium on Biomedical Imaging (ISBI) is the premier forum for the presentation of technological advances in theoretical and applied biomedical imaging. ISBI 2015 will be the 12th meeting in this series. The previous meetings have played a leading role in facilitating interaction between researchers in medical and biological imaging. The 2014 meeting will continue this tradition of fostering crossfertilization among different imaging communities and contributing to an integrative approach to biomedical imaging across all scales of observation.

  • 2014 IEEE 11th International Symposium on Biomedical Imaging (ISBI 2014)

    The IEEE International Symposium on Biomedical Imaging (ISBI) is the premier forum for the presentation of technological advances in theoretical and applied biomedical imaging. ISBI 2014 will be the eleventh meeting in this series. The previous meetings have played a leading role in facilitating interaction between researchers in medical and biological imaging. The 2014 meeting will continue this tradition of fostering crossfertilization among different imaging communities and contributing to an integrative approach to biomedical imaging across all scales of observation.

  • 2013 IEEE 10th International Symposium on Biomedical Imaging (ISBI 2013)

    To serve the biological, biomedical, bioengineering, bioimaging and other technical communities through a quality program of presentations and papers on the foundation, application, development, and use of biomedical imaging.

  • 2012 IEEE 9th International Symposium on Biomedical Imaging (ISBI 2012)

    To serve the biological, biomedical, bioengineering, bioimaging, and other technical communities through a quality program of presentations and papers on the foundation, application, development, and use of biomedical imaging.

  • 2011 IEEE 8th International Symposium on Biomedical Imaging (ISBI 2011)

    To serve the biological, biomedical, bioengineering, bioimaging, and other technical communities through a quality program of presentations and papers on the foundation, application, development, and use of biomedical imaging.

  • 2010 IEEE 7th International Symposium on Biomedical Imaging (ISBI 2010)

    To serve the biological, biomedical, bioengineering, bioimaging, and other technical communities through a quality program of presentations and papers on the foundation, application, development, and use of biomedical imaging.

  • 2009 IEEE 6th International Symposium on Biomedical Imaging (ISBI 2009)

    Algorithmic, mathematical and computational aspects of biomedical imaging, from nano- to macroscale. Topics of interest include image formation and reconstruction, computational and statistical image processing and analysis, dynamic imaging, visualization, image quality assessment, and physical, biological and statistical modeling. Molecular, cellular, anatomical and functional imaging modalities and applications.

  • 2008 IEEE 5th International Symposium on Biomedical Imaging (ISBI 2008)

    Algorithmic, mathematical and computational aspects of biomedical imaging, from nano- to macroscale. Topics of interest include image formation and reconstruction, computational and statistical image processing and analysis, dynamic imaging, visualization, image quality assessment, and physical, biological and statistical modeling. Molecular, cellular, anatomical and functional imaging modalities and applications.

  • 2007 IEEE 4th International Symposium on Biomedical Imaging: Macro to Nano (ISBI 2007)

  • 2006 IEEE 3rd International Symposium on Biomedical Imaging: Macro to Nano (ISBI 2006)

  • 2004 2nd IEEE International Symposium on Biomedical Imaging: Macro to Nano (ISBI 2004)

  • 2002 1st IEEE International Symposium on Biomedical Imaging: Macro to Nano (ISBI 2002)


2020 IEEE Conference on Computer Vision and Pattern Recognition (CVPR)

CVPR is the premier annual computer vision event comprising the main conference and several co-located workshops and short courses. With its high quality and low cost, it provides an exceptional value for students, academics and industry researchers.

  • 2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)

    CVPR is the premier annual computer vision event comprising the main conference and severalco-located workshops and short courses. With its high quality and low cost, it provides anexceptional value for students, academics and industry researchers.

  • 2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)

    CVPR is the premier annual computer vision event comprising the main conference and several co-located workshops and short courses. With its high quality and low cost, it provides an exceptional value for students, academics and industry researchers.

  • 2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR)

    CVPR is the premiere annual Computer Vision event comprising the main CVPR conferenceand 27co-located workshops and short courses. With its high quality and low cost, it provides anexceptional value for students,academics and industry.

  • 2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR)

    CVPR is the premiere annual Computer Vision event comprising the main CVPR conference and 27 co-located workshops and short courses. With its high quality and low cost, it provides an exceptional value for students, academics and industry.

  • 2015 IEEE Conference on Computer Vision and Pattern Recognition (CVPR)

    computer, vision, pattern, cvpr, machine, learning

  • 2014 IEEE Conference on Computer Vision and Pattern Recognition (CVPR)

    CVPR is the premiere annual Computer Vision event comprising the main CVPR conference and 27 co-located workshops and short courses. Main conference plus 50 workshop only attendees and approximately 50 exhibitors and volunteers.

  • 2013 IEEE Conference on Computer Vision and Pattern Recognition (CVPR)

    CVPR is the premiere annual Computer Vision event comprising the main CVPR conference and 27 co-located workshops and short courses. With its high quality and low cost, it provides an exceptional value for students, academics and industry.

  • 2012 IEEE Conference on Computer Vision and Pattern Recognition (CVPR)

    Topics of interest include all aspects of computer vision and pattern recognition including motion and tracking,stereo, object recognition, object detection, color detection plus many more

  • 2011 IEEE Conference on Computer Vision and Pattern Recognition (CVPR)

    Sensors Early and Biologically-Biologically-inspired Vision, Color and Texture, Segmentation and Grouping, Computational Photography and Video

  • 2010 IEEE Conference on Computer Vision and Pattern Recognition (CVPR)

    Concerned with all aspects of computer vision and pattern recognition. Issues of interest include pattern, analysis, image, and video libraries, vision and graphics, motion analysis and physics-based vision.

  • 2009 IEEE Conference on Computer Vision and Pattern Recognition (CVPR)

    Concerned with all aspects of computer vision and pattern recognition. Issues of interest include pattern, analysis, image, and video libraries, vision and graphics,motion analysis and physics-based vision.

  • 2008 IEEE Conference on Computer Vision and Pattern Recognition (CVPR)

  • 2007 IEEE Conference on Computer Vision and Pattern Recognition (CVPR)

  • 2006 IEEE Conference on Computer Vision and Pattern Recognition (CVPR)

  • 2005 IEEE Conference on Computer Vision and Pattern Recognition (CVPR)


2020 IEEE International Conference on Image Processing (ICIP)

The International Conference on Image Processing (ICIP), sponsored by the IEEE SignalProcessing Society, is the premier forum for the presentation of technological advances andresearch results in the fields of theoretical, experimental, and applied image and videoprocessing. ICIP 2020, the 27th in the series that has been held annually since 1994, bringstogether leading engineers and scientists in image and video processing from around the world.


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Periodicals related to Deconvolution

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Applied Superconductivity, IEEE Transactions on

Contains articles on the applications and other relevant technology. Electronic applications include analog and digital circuits employing thin films and active devices such as Josephson junctions. Power applications include magnet design as well asmotors, generators, and power transmission


Audio, Speech, and Language Processing, IEEE Transactions on

Speech analysis, synthesis, coding speech recognition, speaker recognition, language modeling, speech production and perception, speech enhancement. In audio, transducers, room acoustics, active sound control, human audition, analysis/synthesis/coding of music, and consumer audio. (8) (IEEE Guide for Authors) The scope for the proposed transactions includes SPEECH PROCESSING - Transmission and storage of Speech signals; speech coding; speech enhancement and noise reduction; ...


Automatic Control, IEEE Transactions on

The theory, design and application of Control Systems. It shall encompass components, and the integration of these components, as are necessary for the construction of such systems. The word `systems' as used herein shall be interpreted to include physical, biological, organizational and other entities and combinations thereof, which can be represented through a mathematical symbolism. The Field of Interest: shall ...


Biomedical Engineering, IEEE Transactions on

Broad coverage of concepts and methods of the physical and engineering sciences applied in biology and medicine, ranging from formalized mathematical theory through experimental science and technological development to practical clinical applications.


Circuits and Systems I: Regular Papers, IEEE Transactions on

Part I will now contain regular papers focusing on all matters related to fundamental theory, applications, analog and digital signal processing. Part II will report on the latest significant results across all of these topic areas.


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Most published Xplore authors for Deconvolution

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Xplore Articles related to Deconvolution

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Bernoulli-Gaussian deconvolution in non-Gaussian noise, contribution of wavelet decomposition

1996 8th European Signal Processing Conference (EUSIPCO 1996), 1996

We introduce a method to restore Bernoulli-Gaussian processes immerged in a non-gaussian noise. It uses wavelet decomposition to "gaussianize" the noise. The convergence, after wavelet projection, of some non-gaussian noise to a gaussian noise quantifies the quality of the "gaussianization" effect of the wavelet. This property is used to apply a Bernoulli-Gaussian algorithm at each scale of wavelet decomposition. After, ...


One NJ Electric Gun Facility

IEEE Conference Record - Abstracts. 1991 IEEE International Conference on Plasma Science, 1991

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Constrained deconvolution: A game theory approach in an H∞setting

1996 8th European Signal Processing Conference (EUSIPCO 1996), 1996

In this paper we solve the constrained deconvolution problem by state space approach in an H∞setting. The problem addressed is the design of a nonlinear estimator that guarantees H∞performance on infinite horizon for the estimation error by using the Game Theory technic. The method proposed is useful in cases where the statistics of the disturbance and the noise signal are ...


Source independent blind equalization with fractionally-spaced sampling

1996 8th European Signal Processing Conference (EUSIPCO 1996), 1996

A generalization of the super-exponential blind equalization algorithm for fractionally-spaced sampling is presented. Taking advantage of the increased degrees of freedom in selecting higher order statistics of cyclostationary signals, two different cost functions are proposed for blind equalization. One of them allows the inverse of a bandlimited continuous channel to be identified without aliasing, and the other leads to a ...


Erratum - Correction to: "Comparison of Cepstrum-Based Methods for Radial Blind Deconvolution of Ultrasound Images", Vol. 44, No. 3, p. 666.

IEEE Transactions on Ultrasonics, Ferroelectrics, and Frequency Control, 1997

None


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IEEE-USA E-Books

  • Bernoulli-Gaussian deconvolution in non-Gaussian noise, contribution of wavelet decomposition

    We introduce a method to restore Bernoulli-Gaussian processes immerged in a non-gaussian noise. It uses wavelet decomposition to "gaussianize" the noise. The convergence, after wavelet projection, of some non-gaussian noise to a gaussian noise quantifies the quality of the "gaussianization" effect of the wavelet. This property is used to apply a Bernoulli-Gaussian algorithm at each scale of wavelet decomposition. After, we use a fusion strategy to merge all results. We obtain also a new deconvolution algorithm which is very performant, for all satistical noises, when the noise variance is not well estimated. When the noise variance is correctly estimated, it improves the classical Bernoulli-Gaussian algorithm for strongly non-Gaussian noises.

  • One NJ Electric Gun Facility

    None

  • Constrained deconvolution: A game theory approach in an H∞setting

    In this paper we solve the constrained deconvolution problem by state space approach in an H∞setting. The problem addressed is the design of a nonlinear estimator that guarantees H∞performance on infinite horizon for the estimation error by using the Game Theory technic. The method proposed is useful in cases where the statistics of the disturbance and the noise signal are not completely known. We used the technic proposed to estimate heat production rate from the knowledge of the temperature.

  • Source independent blind equalization with fractionally-spaced sampling

    A generalization of the super-exponential blind equalization algorithm for fractionally-spaced sampling is presented. Taking advantage of the increased degrees of freedom in selecting higher order statistics of cyclostationary signals, two different cost functions are proposed for blind equalization. One of them allows the inverse of a bandlimited continuous channel to be identified without aliasing, and the other leads to a blind counterpart of a decision-directed fractionally-spaced equalizer (FSE). Simulation results document the performance of these algorithms.

  • Erratum - Correction to: "Comparison of Cepstrum-Based Methods for Radial Blind Deconvolution of Ultrasound Images", Vol. 44, No. 3, p. 666.

    None

  • Tutorial 1: Industrial Advancements in Diagnosis Driven Yield Analysis

    Provides an abstract of the tutorial presentation and a brief professional biography of the presenter. The complete presentation was not made available for publication as part of the conference proceedings.

  • Identification of blur support size in blind image deconvolution

    This paper proposes a new approach for identifying the support size of the blur operator based on filter-response correlation criterion. As point spread function (PSF) is usually unknown a priori, blur identification becomes a fundamental issue in blind image deconvolution. The blur identification consists of two issues: (i) estimation of the support size, and (ii) computation of the coefficients. If the estimated blur support size differs from the actual support, the blur coefficients cannot be identified reliably. The proposed method addresses this problem through autocorrelation of the filtered image. The filter is derived from the degraded image using autoregressive (AR) model. By separating blur identification from image restoration, our method greatly improves the performance of the blind deconvolution process. Experimental results show that the method is effective in identifying blur size, further leading to satisfactory blind image deconvolution.

  • Recent trends in 2D blind deconvolution for nondestructive evaluation

    Ultrasonic imaging for nondestructive evaluation (NDE) applications is an important process for industrial applications. Such images are constrained by the sensor positions and indirect image formation. In this paper, some recent techniques in the areas of ultrasonic image enhancement and restoration, developed by the authors, are presented. Three new approaches have been presented to enhance the ultrasonic images with minimum or no information of the distortion function or the imaging system characteristics.

  • Digital pulse processing in high-resolution, high-throughput, gamma-ray spectroscopy

    A novel method for processing signals produced by high-resolution, large- volume semiconductor detectors is described. These detectors, to be used in the next generation of spectrometer arrays for nuclear research (i.e., EUROBALL, etc.), present such problems as resolution degradation due to charge trapping and ballistic deficit effects, poor resolution at a high count rate and long-term and temperature instability. To solve these problems a new approach based on digital moving window deconvolution has been developed.<<ETX>>

  • Fault tolerant integrated information management support for physically constrained iterative deconvolution

    Multiple image processing algorithms are often required to process computer vision inputs. The rapid processing of complex image streams requires more computing power than is found in a typical PC based computer or workstation, and the processing power of high-performance computers (HPCs) and Linux clusters have been required to do this type of rapid massive processing. Emerging multicore processors offer the possibility of doing these types of processing at the PC level in real time. The physically constrained iterative deconvolution (PCID) algorithm is a multi-frame blind deconvolution (MFBD) parallel algorithm that allows the extraction of simple and complex information from multiple images. Massive computing power is required to use this algorithm in real time. Message passing interface (MPI) is normally used with PCID for communications between processors in multiprocessor systems. However, MPI has fault tolerant issues. A tool to replace MPI for multiprocessor communications has been developed that supports a high degree of fault-tolerance, and facilitates multiple image processing by integration with a publication/subscription infrastructure. This tool is demonstrated here for the PCID algorithm. Other attributes of MPI and this tool's publication/subscription information management support for PCID are compared and contrasted.



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