IEEE Organizations related to Multispectral Imaging

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Conferences related to Multispectral Imaging

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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 23rd International Conference on Information Fusion (FUSION)

The International Conference on Information Fusion is the premier forum for interchange of the latest research in data and information fusion, and its impacts on our society. The conference brings together researchers and practitioners from academia and industry to report on the latest scientific and technical advances.


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.


2020 IEEE International Conference on Systems, Man, and Cybernetics (SMC)

The 2020 IEEE International Conference on Systems, Man, and Cybernetics (SMC 2020) will be held in Metro Toronto Convention Centre (MTCC), Toronto, Ontario, Canada. SMC 2020 is the flagship conference of the IEEE Systems, Man, and Cybernetics Society. It provides an international forum for researchers and practitioners to report most recent innovations and developments, summarize state-of-the-art, and exchange ideas and advances in all aspects of systems science and engineering, human machine systems, and cybernetics. Advances in these fields have increasing importance in the creation of intelligent environments involving technologies interacting with humans to provide an enriching experience and thereby improve quality of life. Papers related to the conference theme are solicited, including theories, methodologies, and emerging applications. Contributions to theory and practice, including but not limited to the following technical areas, are invited.


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Periodicals related to Multispectral Imaging

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Most published Xplore authors for Multispectral Imaging

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Xplore Articles related to Multispectral Imaging

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A Variance based Multispectral Image And Edge Enhancement

International Geoscience and Remote Sensing Symposium, 'Remote Sensing: Moving Toward the 21st Century'., 1988

None


Spatio-spectral reconstruction of the multispectral datacube using sparse recovery

2008 15th IEEE International Conference on Image Processing, 2008

Multispectral scene information is useful for radiometric graphics, material identification and imaging systems simulation. The multispectral scene can be described as a datacube, which is a 3D representation of energy at multiple wavelength samples at each scene spatial location. Typically, multispectral scene data are acquired using costly methods that either employ tunable filters or light sources to capture multiple narrow-bands ...


A multispectral image sensor array

Proceedings of the IEEE, 1971

A silicon monolithic multispectral photosensor device is described. Fabrication techniques and preliminary spectral response data are presented.


New transform techniques for enhancement and fusion of multispectral and hyperspectral images

2005 ICSC Congress on Computational Intelligence Methods and Applications, 2005

This paper presents a new approach to the development of multispectral/hyperspectral image enhancement and fusion algorithms. In approaches used up to now for image enhancement, the bands are typically processed separately, and this results in considerable distortion. The amount of information in many bands are also not very efficiently used. The objective of this work is to utilize the amount ...


Image Texture Classification Using Texture Spectrum and Local Binary Pattern

2006 IEEE International Symposium on Geoscience and Remote Sensing, 2006

None


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Educational Resources on Multispectral Imaging

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IEEE.tv Videos

2011 IEEE Medal for Innovations in Healthcare Technology - Harrison H. Barrett
Smarter Smartphone Imaging - Erik Douglas - IEEE EMBS at NIH, 2019
ICASSP 2010 - Radar Imaging of Building Interiors
Harrison H. Barrett
Episode 2 - Albert Theuwissen - Chip Chat Podcast
IMS 2015: Robert H. Caverly - Aspects of Magnetic Resonance Imaging
Imaging Human Brain Function with Simultaneous EEG-fMRI - IEEE Brain Workshop
The Fundamentals of Compressive Sensing, Part I: Introduction
IEEE Medal for Innovations in Healthcare Technology - Thomas F. Budinger - 2018 IEEE Honors Ceremony
CPIQ Update and the Case for Image Quality Standards in Automotive
Phase Retrieval with Application to Optical Imaging
ISEC 2013 Special Gordon Donaldson Session: Remembering Gordon Donaldson - 4 of 7 - MRI at 130 Microtesla
The European Startup Scene - Jose Pozo - IPC 2018
From THz imaging to millimeter-wave stimulation of neurons: Is there a killer application for high frequency RF in the medical community? (RFIC 2015 Keynote)
Abbas El Gamal accepts the IEEE Richard W. Hamming Medal - Honors Ceremony 2016
WIE ILC 2015: Leadership in Todays Tech Industry a Keynote with Intel CEO Brian Krzanich
Brooklyn 5G 2016: Dr. Partho Sengupta on Mobile Health Biomedical Imaging
Ignite! Session: Bill Moses
Ultrafast Lasers for Multi-photon Microscopy - Plenary Speaker: Jim Kafka - IPC 2018
ISEC 2013 Special Gordon Donaldson Session: Remembering Gordon Donaldson - 5 of 7 - SQUID Instrumentation for Early Cancer Diagnostics

IEEE-USA E-Books

  • A Variance based Multispectral Image And Edge Enhancement

    None

  • Spatio-spectral reconstruction of the multispectral datacube using sparse recovery

    Multispectral scene information is useful for radiometric graphics, material identification and imaging systems simulation. The multispectral scene can be described as a datacube, which is a 3D representation of energy at multiple wavelength samples at each scene spatial location. Typically, multispectral scene data are acquired using costly methods that either employ tunable filters or light sources to capture multiple narrow-bands of the spectrum at each spatial point. In this paper, we present new computational methods that estimate the datacube from measurements with a conventional digital camera. Existing methods reconstruct spectra at single locations independently of their neighbors. In contrast, we present a method that jointly recovers the spatio-spectral datacube by exploiting the data sparsity in a transform representation.

  • A multispectral image sensor array

    A silicon monolithic multispectral photosensor device is described. Fabrication techniques and preliminary spectral response data are presented.

  • New transform techniques for enhancement and fusion of multispectral and hyperspectral images

    This paper presents a new approach to the development of multispectral/hyperspectral image enhancement and fusion algorithms. In approaches used up to now for image enhancement, the bands are typically processed separately, and this results in considerable distortion. The amount of information in many bands are also not very efficiently used. The objective of this work is to utilize the amount of information available more effectively, remove such distortions and to improve the appearance of the images. To realize this goal, we developed two new algorithms using transform techniques. In the resulting algorithms developed, image enhancement and image fusion are considered together

  • Image Texture Classification Using Texture Spectrum and Local Binary Pattern

    None

  • Adaptive subspace decomposition for hyperspectral data dimensionality reduction

    This paper proposed a novel adaptive subspace decomposition (ASD) method for hyperspectral data dimensionality reduction. The new method is mainly based on the criterions of the correlation matrix and the variability ratio of eigenvalues and it can overcome the disadvantages of the conventional Principal Component Analysis (PCA) method. To evaluate the effectiveness of the new method, experiments are conducted on AVIRIS data. The data dimensionality is reduced from 100 to 5 bands. When applied to classification, the results show that the new method keeps more detail information than the conventional PCA method and can get higher classification accuracy.

  • Change detection in multispectral imagery from multisensor

    None

  • A novel method for multispectral aerial image registration

    This paper presents a novel method for multispectral aerial image registration. Different bands of multispectral images taken by non-coaxial multispectral camera system usually cannot overlap accurately due to the non- coaxiality of the camera system and assembly error. Therefore, image registration is required. There are three problems in image registration of different bands. First, similarity between different bands is rather poor, which makes control points selection difficult. Second, polynomial transform model is lack of imaging geometry foundation. Third, there is translation between different bands, which also causes difficulties for control points selection. The method presented in this paper solves these three problems preliminarily. Finally, we validated this novel method using real multispectral images.

  • Wavelet-based PAN and Multispectral Image Fusion

    A new algorithm is developed to fuse a high-resolution panchromatic (PAN) image and a low-resolution multispectral (MS) image based on wavelet transform. Firstly, this paper clarifies the concepts of and relationship between image fusion rule and operator based on wavelet transform; secondly, we propose a new strategy of calculating spatial frequency in accordance with wavelet decomposition characteristic. We adopt activity level comparison based on the spatial frequency to fuse the detail coefficient and weighted average method to fuse approximate image. Finally, this paper compares the fused results based on various wavelets, and presents objective and quantitative evaluation and analysis for the fused images

  • Digital least squares restoration of multi-channel images

    Summary form only given. A least-squares filter for the restoration of multichannel images is presented. The process involves the removal of noise and degradation from observed multichannel imagery, such as color or multispectral images. The restoration filters utilize information distributed across image channels and process all channels as a single entity. They use a priori information and constraints, thus avoiding some of the drawbacks of the minimum-mean-squared-error filter.<>



Standards related to Multispectral Imaging

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Jobs related to Multispectral Imaging

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