IEEE Organizations related to Image Filtering

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Conferences related to Image Filtering

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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 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 Instrumentation and Measurement Technology Conference (I2MTC)

The Conference focuses on all aspects of instrumentation and measurement science andtechnology research development and applications. The list of program topics includes but isnot limited to: Measurement Science & Education, Measurement Systems, Measurement DataAcquisition, Measurements of Physical Quantities, and Measurement Applications.


2020 IEEE International Symposium on Circuits and Systems (ISCAS)

The International Symposium on Circuits and Systems (ISCAS) is the flagship conference of the IEEE Circuits and Systems (CAS) Society and the world’s premier networking and exchange forum for researchers in the highly active fields of theory, design and implementation of circuits and systems. ISCAS2020 focuses on the deployment of CASS knowledge towards Society Grand Challenges and highlights the strong foundation in methodology and the integration of multidisciplinary approaches which are the distinctive features of CAS contributions. The worldwide CAS community is exploiting such CASS knowledge to change the way in which devices and circuits are understood, optimized, and leveraged in a variety of systems and applications.


2020 IEEE Radar Conference (RadarConf20)

Annual IEEE Radar Conference

  • 2018 IEEE Radar Conference (RadarConf18)

    This conference will be a continuation of the annual IEEE radar series (formerly the IEEE National Radar conference). These conferences cover the many disciplines that span the applications of modern radar systems, including systems-level through subsystem and component technologies, antennas, and signal processing (deterministic and adaptive). The scope includes systems architectures of monostatic, bistatic and multistatic, and ground-based, airborne, shipborne, and spaceborne realizations.

  • 2017 IEEE Radar Conference (RadarCon)

    This conference will be a continuation of the annual IEEE radar series (formerly the IEEE National Radar conference). These conferences cover the many disciplines that span the applications of modern radar systems. This includes systems-level through subsystem and component technologies, antennas, and signal processing (deterministic and adaptive). The scope includes systems architectures of monostatic, bistatic and multistatic, and ground-based, airborne, and spaceborn realizations.

  • 2016 IEEE Radar Conference (RadarCon)

    A continuing series of annual RADAR Conferences IEEE-AESS

  • 2015 IEEE Radar Conference (RadarCon)

    The scope of the IEEE 2015 International Radar Conference includes all aspects of civil and military radar. Topics range from fundamental theory to cutting-edge applications, from signal processing, modeling, simulation to hardware implementation and experimental results.

  • 2014 IEEE Radar Conference (RadarCon)

    The 2014 IEEE Radar Conference will showcase innovations and developments in radar technology. Topics will include presentations describing developments in radar systems and their implementations, phenomenology, target and clutter modeling, signal processing, component advances, etc.

  • 2013 IEEE Radar Conference (RadarCon)

    The conference theme is The Arctic The New Frontier as it presents a vast and challenging environment for which radar systems operating in a multi-sensor environment are currently being developed for deployment on space, air, ship and ground platforms and for both remote sensing of the environment and for the monitoring of human activity. It is one of the major challenges and applications being pursued in the field of radar development in Canada.

  • 2012 IEEE Radar Conference (RadarCon)

    The 2012 IEEE Radar Conference will host 400 to 600 attendees interested in innovations and developments in radar technology. The radar related topics will include presentations describing developments in radar systems and their implementations, phenomenology, target and clutter modeling, component advances, signal processing and data processing utilizing advanced algorithms. The conference will also include exhibits by vendors of radar systems, radar components, instrumentation, related software and publ

  • 2011 IEEE Radar Conference (RadarCon)

    RadarCon11 will feature topics in radar systems, technology, applications, phenomenology,modeling, & signal processing. The conference theme, In the Eye of the Storm, highlights the strong regional interest in radar for severe weather analysis and tracking. Broader implications of the theme reflect global interests such as radar's role in assessing climate change, supporting myriad defense applications, as well as issues with spectrum allocation and management.

  • 2010 IEEE International Radar Conference

    RADAR Systems, RADAR technology

  • 2009 IEEE Radar Conference

    The conference's scope is civil and military radar, including science, technology, and systems. The theme for RADAR '09 is "Radar: From Science to Systems," emphasizing scientific or observational requirements and phenomenology that lead to the systems that we in the radar community develop.

  • 2008 IEEE Radar Conference

    The 2008 IEEE Radar Conference will focus on the key aspects of radar theory and applications as listed below. Exploration of new avenues and methodologies of radar signal processing will also be encouraged. Tutorials will be held in a number of fields of radar technology. The Conference will cover all aspects of radar systems for civil, security and defense applications.

  • 2007 IEEE Radar Conference

  • 2006 IEEE Radar Conference

  • 2005 IEEE International Radar Conference

  • 2004 IEEE Radar Conference

  • 2003 IEEE Radar Conference

  • 2002 IEEE Radar Conference

  • 2001 IEEE Radar Conference

  • 2000 IEEE International Radar Conference

  • 1999 IEEE Radar Conference

  • 1998 IEEE Radar Conference

  • 1997 IEEE Radar Conference

  • 1996 IEEE Radar Conference


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Periodicals related to Image Filtering

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No periodicals are currently tagged "Image Filtering"


Most published Xplore authors for Image Filtering

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Xplore Articles related to Image Filtering

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An overview of objectionable image detection

2015 International Symposium on Technology Management and Emerging Technologies (ISTMET), 2015

Rapid growth of internet made sharing and distribution of media files became easier. This phenomena and this fact that internet is boundary less network, raised the concern of exposure to unwanted images and more importantly offensive images. Pornographic images are among most offensive images especially for minors. Although there are numbers of researches conducted to address this challenge, but this ...


Computable flexible electronics: circuits exploring for image filtering accelerator with OTFT

2016 7th International Conference on Computer Aided Design for Thin-Film Transistor Technologies (CAD-TFT), 2016

Flexible electronic devices are widely adopted in fields of sensors, wearable equipments, RFID and large-area applications, for their features of bending and stretching. However, relatively fewer research works on computation with flexible electronic devices are reported, due to their poor carrier mobility and stability. In this paper, a novel circuit architecture of image filtering accelerator using Organic Thin-film transistor (OTFT), ...


Image Reconstruction Algorithm Based on Guided Image Filtering in Parallel-Beam CT

2018 14th International Conference on Computational Intelligence and Security (CIS), 2018

Reconstruction of high-quality images by few-view projections is a challenge faced by computed tomography. Based on guided image filtering, a new image reconstruction algorithm is presented to reconstruct image. Specially, the guided image is identical to the reconstructed image. The new reconstruction algorithm was applied to the few-view projections. The experimental results show that the new technique can improve the ...


Hardware design of disparity computation for stereo vision using guided image filtering

2018 International Symposium on VLSI Design, Automation and Test (VLSI-DAT), 2018

Disparity estimation is the key operation in stereo matching. In general, there are two categories of stereo matching methods: global and local. Local stereo matching methods are fast due to less computation while global methods can generate more accurate depth information at the cost of more computation complexity. This paper presents a low-cost and high-quality local stereo matching design which ...


Two Adaptive Schemes for Image Sharpening

2019 IEEE 2nd International Conference on Information and Computer Technologies (ICICT), 2019

Two locally adaptive schemes for image sharpening are established. With appropriate selections of parameters, the schemes also smoothen the image in the area with flat-valued pixels, which leads to more pleasant-looking images. Demonstration by using standard images shows that the schemes are effective and comparable to some commonly used image-sharpening techniques in the literature.


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Educational Resources on Image Filtering

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IEEE-USA E-Books

  • An overview of objectionable image detection

    Rapid growth of internet made sharing and distribution of media files became easier. This phenomena and this fact that internet is boundary less network, raised the concern of exposure to unwanted images and more importantly offensive images. Pornographic images are among most offensive images especially for minors. Although there are numbers of researches conducted to address this challenge, but this field is still crude. In this paper, different approaches to pornographic image detection is reviewed and categorized by focusing to content based methods. Reviewing these papers, general limitations of these works are discussed including lack of standard dataset for this field and standard definition which is well accepted for pornographic or naked images.

  • Computable flexible electronics: circuits exploring for image filtering accelerator with OTFT

    Flexible electronic devices are widely adopted in fields of sensors, wearable equipments, RFID and large-area applications, for their features of bending and stretching. However, relatively fewer research works on computation with flexible electronic devices are reported, due to their poor carrier mobility and stability. In this paper, a novel circuit architecture of image filtering accelerator using Organic Thin-film transistor (OTFT), which could realize real-time image signal convolution in analog domain, is proposed.

  • Image Reconstruction Algorithm Based on Guided Image Filtering in Parallel-Beam CT

    Reconstruction of high-quality images by few-view projections is a challenge faced by computed tomography. Based on guided image filtering, a new image reconstruction algorithm is presented to reconstruct image. Specially, the guided image is identical to the reconstructed image. The new reconstruction algorithm was applied to the few-view projections. The experimental results show that the new technique can improve the image quality over the compared method.

  • Hardware design of disparity computation for stereo vision using guided image filtering

    Disparity estimation is the key operation in stereo matching. In general, there are two categories of stereo matching methods: global and local. Local stereo matching methods are fast due to less computation while global methods can generate more accurate depth information at the cost of more computation complexity. This paper presents a low-cost and high-quality local stereo matching design which utilizes mean filtering and guided image filtering to improve the quality of depth computation. Mean filtering is implemented using a moving-sum method, instead of the conventional integral image method, in order to reduce bit-width of internal memory buffers. Vertical-striped-based guided image filtering is applied to the weighted median filtering for disparity refinement with low memory cost. Experimental results show that the proposed design can achieve satisfactory disparity estimation with much smaller hardware cost compared with prior similar designs.

  • Two Adaptive Schemes for Image Sharpening

    Two locally adaptive schemes for image sharpening are established. With appropriate selections of parameters, the schemes also smoothen the image in the area with flat-valued pixels, which leads to more pleasant-looking images. Demonstration by using standard images shows that the schemes are effective and comparable to some commonly used image-sharpening techniques in the literature.

  • Weighted guided image filtering for image enhancement

    Digital image processing helps to achieve good process in various research fields but still enhancing the degraded content to normal content is concerned area. Image enhancement attains attention due to its high application applicability. We present a weighted guided image filtering to improve filtering and avoid halo artifacts. We realized that the previously utilized local filtering based edge preserving smoothening filter nothing but guided image filter (GIF) experiences halo artifacts. To conquer this issue we proposed method called WGIF method. This method is introduced by joining an edge-aware weighted into an existing guided image filter. WGIF scheme yields low intricacy O(N) as local smoothing filter (GIF) and preserve the sharp gradient information like global smoothing filter. The WGF is applied for single image detail enhancement and single image haze removal.

  • A method of ear feature extraction for ear biometrics using MATLAB

    Ear feature extraction is a crucial step of ear biometrics. Image preprocessing and normalization of ear image are very important steps of ear feature extraction. Ear recognition system still facing the problem of noise on the ear image. In this paper we have implemented a simple method to extract ear features using image processing which minimizes the noise problem in ear image. We proposed simple and less time consuming method for 2D ear feature extraction. For this we used MATLAB as a processing tool. We did image preprocessing to remove unwanted information of ear images, also performed steps like image segmentation and feature extraction to get desirable shape of ear for ear recognition system purpose.

  • Gaussian Filtering Implementation and Performance Analysis on GPU

    In image processing field, filtering process places vital role in order to extract high quality picture. The comparison demanding of the CPU operation is more and hence the performance of convolution in image processing takes more time. When compared to CPU the GPU may be a better way in accelerating image filtering. NVIDIA has developed a parallel computing platform known as CUDA (Compute Unified Device Architecture). CUDA is a programing interface which uses the parallel architecture for general purpose computing that suits for highly general purpose programing on GPU. This interface is known to be a set of library functions which could be coded as an extension of C language. In this paper the filtering is implemented with the help of two code languages the formal one is OPENCV and the other is the CUDA implementation. GPU modules are being included in the OPENCV library which contains all the GPU accelerated stuffs. NVIDIA supports the work on the module. The OPENCV GPU programing is written in CUDA and it benefits from CUDA ecosystem. The inputs are drawn with the CPU function and the filtering operation is done as the GPU function, again the results are copied into CPU and displayed. We observed that the GPU has the high speed up when compared with the CPU in image filtering operation.

  • Morphological processing of videostream frames binary masks

    One of the primary tasks of videoframes processing of digital videostreams is to quantify the geometric structure of moving objects, in order to extract information from videostreams frames. In this paper we purpose a recursive algorithms that are based on morphological conditional dilation and conditional erosion operations. Practical implementation of purposed algorithms on real-time video sequences shows, that computational complexity of purposed algorithms is equal to m+1, where m - number of pixels in kernel.

  • Dual-energy CT Reconstruction using Guided Image Filtering

    Dual-energy computed tomography (CT) has become widely applied due to its advantages like reducing beam-hardening artefacts and providing more accurate attenuation measurements. Compared with traditional CT (using single X-ray spectrum), dual-energy CT performs much better especially when some material cannot be easily distinguished by one X-ray spectrum. When doing dual-energy CT reconstruction, it is a basic principal to fully exploit the information of the data from both high and low energies. Here we propose a novel dual-energy CT reconstruction method using the guided image filtering algorithm and the commonly used transmission image reconstruction method: separable quadratic surrogates (SQS). As a patch-based image processing algorithm, guided image filtering has nice properties of edge-preserving smoothing and relatively high computational efficiency. It can be used in structure-transferring between two images, filtering-based feathering/matting and dehazing. On the other hand, the SQS algorithm is an ordered subsets algorithm for penalty likelihood image reconstruction in transmission tomography. It can rapidly decrease the objective function value in the early iterations. In this paper, the ideas of guided image filtering and SQS are explained. We study the basic principle and main advantages of guided image filtering and SQS, and tell how we combine these two methods to do dual-energy CT reconstruction. After that, we did computed simulation (with simulated Poisson noise) to validate our idea, and make comparison with other methods. The results show that the quality of both images can be improved in a satisfying convergence speed.



Standards related to Image Filtering

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Jobs related to Image Filtering

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