Pixel

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In digital imaging, a pixel, or pel, (picture element) is a single point in a raster image, or the smallest addressable screen element in a display device; it is the smallest unit of picture that can be represented or controlled. (Wikipedia.org)






Conferences related to Pixel

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ICASSP 2017 - 2017 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)

The ICASSP meeting is the world's largest and most comprehensive technical conference focused on signal processing and its applications. The conference will feature world-class speakers, tutorials, exhibits, and over 50 lecture and poster sessions.


2016 IEEE Nuclear Science Symposium, Medical Imaging Conference and Room-Temperature Semiconductor Detector Workshop (NSS/MIC/RTSD)

The NSS/MIC offers an outstanding opportunity for scientists and engineers interested in the fields of nuclear science, radiation detection, accelerators, high energy physics and astrophysics, and related software to present their latest developments and ideas. The scientific program provides a comprehensive review of the latest developments in technology and covers a wide range of applications from radiation and accelerator instrumentation, new detector materials, to complex detector systems for physical sciences, and advanced imaging systems for biological and medical research.


2014 IEEE International Symposium on Circuits and Systems (ISCAS)

The IEEE International Symposium on Circuits and Systems (ISCAS) is the flagship conference of the IEEE Circuits and Systems Society and the world’s premier networking forum in the highly active fields of theory, design and implementation of circuits and systems.ISCAS 2014 will have a special focus on nano/bio circuits and systems applied to enhancing living and lifestyles, and seeks to address multidisciplinary challenges in healthcare and well-being, the environment and climate change.

  • 2013 IEEE International Symposium on Circuits and Systems (ISCAS)

    The Symposium will focus on circuits and systems employing nanodevices (both extremely scaled CMOS and non-CMOS devices) and circuit fabrics (mixture of standard CMOS and evolving nano-structure elements) and their implementation cost, switching speed, energy efficiency, and reliability. The ISCAS 2010 will include oral and poster sessions; tutorials given by experts in state-of-the-art topics; and special sessions, with the aim of complementing the regular program with topics of particular interest to the community that cut across and beyond disciplines traditionally represented at ISCAS.

  • 2012 IEEE International Symposium on Circuits and Systems - ISCAS 2012

    2012 International Symposium on Circuits and Systems (ISCAS 2012) aims at providing the world's premier forum of leading researchers in circuits and systems areas from academia and industries, especially focusing on Convergence of BINET (BioInfoNanoEnviro Tech.) which represents IT, NT and ET and leading Human Life Revolutions. Prospective authors are invited to submit papers of their original works emphasizing contributions beyond the present state of the art. We also welcome proposals on special tuto

  • 2011 IEEE International Symposium on Circuits and Systems (ISCAS)

    The IEEE International Symposium on Circuits and Systems (ISCAS) is the world's premier networking forum of leading researchers in the highly active fields of theory, design and implementation of circuits and systems.

  • 2010 IEEE International Symposium on Circuits and Systems - ISCAS 2010

    ISCAS is a unique conference dealing with circuits and systems. It's the yearly "rendez-vous" of leading researchers, coming both from academia and industry, in the highly active fields of theory, design and implementation of circuits and systems. The Symposium will focus on circuits and systems for high quality life and consumer technologies, including mobile communications, advanced multimedia systems, sensor networks and Nano-Bio Circuit Fabrics and Systems.

  • 2009 IEEE International Symposium on Circuits and Systems - ISCAS 2009

    Analog Signal Processing, Biomedical Circuits and Systems, Blind Signal Processing, Cellular Neural Networks and Array Computing, Circuits and Systems for Communications, Computer-Aided Network Design, Digital Signal Processing, Life-Science Systems and Applications, Multimedia Systems and Applications, Nanoelectronics and Gigascale Systems, Neural Systems and Applications, Nonlinear Circuits and Applications, Power Systems and Power Electronic Circuits, Sensory Systems, Visual Signal Processing and Communi

  • 2008 IEEE International Symposium on Circuits and Systems - ISCAS 2008

  • 2007 IEEE International Symposium on Circuits and Systems - ISCAS 2007

  • 2006 IEEE International Symposium on Circuits and Systems - ISCAS 2006

  • 2005 IEEE International Symposium on Circuits and Systems - ISCAS 2005


2014 IEEE Photonics Society Summer Topical Meeting Series

The Topical Meetings of the Photonics Society are the premier conference series for exciting new areas in photonic science, technology, and applications, creating the opportunity to learn about emerging fields and to interact with the research and technology leaders in an intimate environment.


2011 International Image Sensor Workshop (IISW)

Solid-state image sensors including pixel design, pixel device physics, sensor readout and signal processing circuits and architecture, color and image signal processing


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Periodicals related to Pixel

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Nuclear Science, IEEE Transactions on

All aspects of the theory and applications of nuclear science and engineering, including instrumentation for the detection and measurement of ionizing radiation; particle accelerators and their controls; nuclear medicine and its application; effects of radiation on materials, components, and systems; reactor instrumentation and controls; and measurement of radiation in space.


Sensors Journal, IEEE

The Field of Interest of the IEEE Sensors Journal is the science and applications of sensing phenomena, including theory, design, and application of devices for sensing and transducing physical, chemical, and biological phenomena. The emphasis is on the electronics, physics, biology, and intelligence aspects of sensors and integrated sensor-actuators. (IEEE Guide for Authors) (The fields of interest of the IEEE ...


Solid-State Circuits, IEEE Journal of

The IEEE Journal of Solid-State Circuits publishes papers each month in the broad area of solid-state circuits with particular emphasis on transistor-level design of integrated circuits. It also provides coverage of topics such as device modeling, technology, systems design, layout, and testing that relate directly to IC design. Integrated circuits and VLSI are of principal interest; material related to discrete ...




Xplore Articles related to Pixel

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Super-resolution mapping of urban scenes from IKONOS imagery using a Hopfield neural network

A. J. Tatem; H. G. Lewis; P. M. Atkinson; M. S. Nixon IGARSS 2001. Scanning the Present and Resolving the Future. Proceedings. IEEE 2001 International Geoscience and Remote Sensing Symposium (Cat. No.01CH37217), 2001

The availability of 4-metre spatial resolution satellite sensor imagery represents an important step in the automated mapping of urban scenes. However, a large amount of class mixing is still evident within such imagery, making traditional 'hard' classification inappropriate for urban land cover mapping. Land cover class composition of image pixels can be estimated using soft classification techniques. However, their output ...


Super-resolution mapping of multiple-scale land cover features using a Hopfield neural network

A. J. Tatem; H. G. Lewis; P. M. Atkinson; M. S. Nixon IGARSS 2001. Scanning the Present and Resolving the Future. Proceedings. IEEE 2001 International Geoscience and Remote Sensing Symposium (Cat. No.01CH37217), 2001

Soft classification techniques have been developed to estimate the class composition of image pixels, but their output provides no indication of how these classes are distributed spatially within the pixel. Separate Hopfield neural network techniques for producing super-resolution maps from imagery of features larger and smaller than a pixel have been developed. However, the techniques have yet to be combined ...


A very high accuracy handwritten character recognition system for Farsi/Arabic digits using Convolutional Neural Networks

Sajjad S. Ahranjany; Farbod Razzazi; Mohammad H. Ghassemian 2010 IEEE Fifth International Conference on Bio-Inspired Computing: Theories and Applications (BIC-TA), 2010

In this paper, a new method is presented for recognizing the handwritten Farsi/Arabic digits by fusing the recognition results of a number of Convolutional Neural Networks with gradient descent training algorithm. Convolutional Neural Networks are a type of neural networks that are biologically inspired from human visual system which combines feature extraction and classification stages. This paper is concentrated on ...


Image compression in medical image databases using set redundancy

K. Karadimitriou; M. Fenstermacher Data Compression Conference, 1997. DCC '97. Proceedings, 1997

Summary form only given. Image compression is achieved by eliminating various types of redundancy that exist in the pixel values. Individual gray-scale images contain interpixel, psychovisual, and coding redundancy. However, sets of similar images contain an additional type of redundancy: the set redundancy. Set redundancy is the inter-image redundancy that results from the common information found in more than one ...


A comparison of text reading speed using square and rectangular arrays for visual prosthesis

Min Hye Chang; Hyun Seok Kim; Jae Hyuk Shin; Kwang Suk Park 2009 9th International Conference on Information Technology and Applications in Biomedicine, 2009

With the increase of the number of the blind, demand for visual prosthesis is increasing. Text reading is one of the most important visual functions to the blind. Therefore human trials and simulations of prosthetic vision have already been carried out for testing an improved system or studying rehabilitation of people who implant prosthesis. But although forms of electrode arrays ...


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Educational Resources on Pixel

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eLearning

Super-resolution mapping of urban scenes from IKONOS imagery using a Hopfield neural network

A. J. Tatem; H. G. Lewis; P. M. Atkinson; M. S. Nixon IGARSS 2001. Scanning the Present and Resolving the Future. Proceedings. IEEE 2001 International Geoscience and Remote Sensing Symposium (Cat. No.01CH37217), 2001

The availability of 4-metre spatial resolution satellite sensor imagery represents an important step in the automated mapping of urban scenes. However, a large amount of class mixing is still evident within such imagery, making traditional 'hard' classification inappropriate for urban land cover mapping. Land cover class composition of image pixels can be estimated using soft classification techniques. However, their output ...


Super-resolution mapping of multiple-scale land cover features using a Hopfield neural network

A. J. Tatem; H. G. Lewis; P. M. Atkinson; M. S. Nixon IGARSS 2001. Scanning the Present and Resolving the Future. Proceedings. IEEE 2001 International Geoscience and Remote Sensing Symposium (Cat. No.01CH37217), 2001

Soft classification techniques have been developed to estimate the class composition of image pixels, but their output provides no indication of how these classes are distributed spatially within the pixel. Separate Hopfield neural network techniques for producing super-resolution maps from imagery of features larger and smaller than a pixel have been developed. However, the techniques have yet to be combined ...


A very high accuracy handwritten character recognition system for Farsi/Arabic digits using Convolutional Neural Networks

Sajjad S. Ahranjany; Farbod Razzazi; Mohammad H. Ghassemian 2010 IEEE Fifth International Conference on Bio-Inspired Computing: Theories and Applications (BIC-TA), 2010

In this paper, a new method is presented for recognizing the handwritten Farsi/Arabic digits by fusing the recognition results of a number of Convolutional Neural Networks with gradient descent training algorithm. Convolutional Neural Networks are a type of neural networks that are biologically inspired from human visual system which combines feature extraction and classification stages. This paper is concentrated on ...


Image compression in medical image databases using set redundancy

K. Karadimitriou; M. Fenstermacher Data Compression Conference, 1997. DCC '97. Proceedings, 1997

Summary form only given. Image compression is achieved by eliminating various types of redundancy that exist in the pixel values. Individual gray-scale images contain interpixel, psychovisual, and coding redundancy. However, sets of similar images contain an additional type of redundancy: the set redundancy. Set redundancy is the inter-image redundancy that results from the common information found in more than one ...


A comparison of text reading speed using square and rectangular arrays for visual prosthesis

Min Hye Chang; Hyun Seok Kim; Jae Hyuk Shin; Kwang Suk Park 2009 9th International Conference on Information Technology and Applications in Biomedicine, 2009

With the increase of the number of the blind, demand for visual prosthesis is increasing. Text reading is one of the most important visual functions to the blind. Therefore human trials and simulations of prosthetic vision have already been carried out for testing an improved system or studying rehabilitation of people who implant prosthesis. But although forms of electrode arrays ...


More eLearning Resources

IEEE-USA E-Books

  • A Switched Gaussian Process for Estimating Disparity and Segmentation in Binocular Stereo

    This paper describes a Gaussian process framework for inferring pixel-wise disparity and bi-layer segmentation of a scene given a stereo pair of images. The Gaussian process covariance is parameterized by a foreground- backgroundocclusion segmentation label to model both smooth regions and discontinuities. As such, we call our model a switched Gaussian process. We propose a greedy incremental algorithm for adding observations from the data and assigning segmentation labels. Two observation schedules are proposed: the first treats scanlines as independent, the second uses an active learning criterion to select a sparse subset of points to measure. We show that this probabilistic framework has comparable performance to the state-of-the-art.

  • Practical Aspects of Quasioptical Focusing Elements

    This chapter contains sections titled: Introduction Single-Pixel and Imaging Systems The Eikonal Equation Refractive Focusing Elements Zoned Lenses Zone Plate Lenses Metallic Lenses Reflective Focusing Elements Bibliographic Notes

  • Image Processing

    This chapter contains sections titled: Read pixels, Write pixels, Copy pixels, Color components, Pixel array, Pixel components

  • Spectropolarimetric Imaging Techniques with Compressive Sensing

    We describe multi-dimensional imaging systems based on single-pixel photodetectors and compressive sensing techniques. The key element in all cases is a spatial light modulator which sequentially generates a set of intensity light patterns to sample the input object. The optical architectures use off-the-shelf detectors, such as beam polarimeters and fiber spectrometers, with no spatial structure. The developed optical systems are applied to polarimetric, multispectral, and spectropolarimetric imaging.

  • No title

    Visual information retrieval (VIR) is an active and vibrant research area, which attempts at providing means for organizing, indexing, annotating, and retrieving visual information (images and videos) from large, unstructured repositories. The goal of VIR is to retrieve matches ranked by their relevance to a given query, which is often expressed as an example image and/or a series of keywords. During its early years (1995-2000), the research efforts were dominated by content-based approaches contributed primarily by the image and video processing community. During the past decade, it was widely recognized that the challenges imposed by the lack of coincidence between an image's visual contents and its semantic interpretation, also known as semantic gap, required a clever use of textual metadata (in addition to information extracted from the image's pixel contents) to make image and video retrieval solutions efficient and effective. The need to bridge (or at least narrow) the semanti gap has been one of the driving forces behind current VIR research. Additionally, other related research problems and market opportunities have started to emerge, offering a broad range of exciting problems for computer scientists and engineers to work on. In this introductory book, we focus on a subset of VIR problems where the media consists of images, and the indexing and retrieval methods are based on the pixel contents of those images -- an approach known as content-based image retrieval (CBIR). We present an implementation-oriented overview of CBIR concepts, techniques, algorithms, and figures of merit. Most chapters are supported by examples written in Java, using Lucene (an open-source Java-based indexing and search implementation) and LIRE (Lucene Image REtrieval), an open-source Java-based library for CBIR. Table of Contents: Introduction / Information Retrieval: Selected Concepts and Techniques / Visual Features / Indexing Visual Features / LIRE: An Extensible Java CBIR Li rary / Concluding Remarks

  • Genetic Programming for Robot Vision

    Genetic Programming was used to create the vision subsystem of a reactive obstacle avoidance system for an autonomous mobile robot. The representation of algorithms was specifically chosen to capture the spirit of existing, hand written vision algorithms. Traditional computer vision operators such as Sobel gradient magnitude, median filters and the Moravec interest operator were combined arbitrarily. Images from an office hallway were used as training data. The evolved programs took a black and white camera image as input and estimated the location of the lowest non-ground pixel in a given column. The computed estimates were then given to a handwritten obstacle avoidance algorithm and used to control the robot in real time. Evolved programs successfully navigated in unstructured hallways, performing on par with hand- crafted systems

  • Fast Bottom-Up Computational Models in the Spectral Domain

    This chapter continues the introduction to bottom-up visual attention models. Following the description of models in the spatial (pixel) domain in the previous chapter, the focus is now put on models in the spectral domain. Since frequency domain models can detect the salient object quicker to enable them to meet real-time requirements in engineering, they are the choice for many real-world applications In this chapter, first the properties of the frequency spectrum for image analysis are given in Section 4.1, and then the major bottom-up computational models based on phase spectrum in frequency domain are presented in Sections 4.2-4.6: the SR, PFT, PQFT, PCT and FDN models, respectively. In Section 4.6, FDN and PFDN models have biological plausibility because they simulate each step from the (spatial domain) BS model, but in the frequency domain. In Section 4.7, the AQFT model based on amplitude spectrum of image patches is introduced and Section 4.8 gives a computational model from the JPEG bit-stream. Finally, the advantages and limitations of frequency computational models are discussed in Section 4.9.

  • Image Segmentation

    This chapter contains sections titled: Edge-Based Image Segmentation Pixel-Based Direct Classification Methods Region-Based Segmentation Advanced Segmentation Methods Exercises References

  • Typography

    This chapter contains sections titled: Draw text, Load media, Vector fonts, Pixel fonts, Text attributes, Typing, Typography and interaction

  • NanoNewton Force Sensing and Control in Microrobotic Cell Manipulation

    Cellular force sensing and control techniques are capable of enhancing the dexterity and reliability of microrobotic cell manipulation systems. This paper presents a vision-based cellular force sensing technique using a microfabricated elastic cell holding device and a sub-pixel visual tracking algorithm for resolving forces down to 3.7nN during microrobotic mouse embryo injection. The technique also experimentally proves useful for in situ differentiation of healthy mouse embryos from those with compromised developmental competence without the requirement of a separate mechanical characterization process. Concerning force-controlled microrobotic cell manipulation (pick-transport-place), this paper presents the first demonstration of nanoNewton force-controlled cell micrograsping using a MEMS- based microgripper with integrated two-axis force feedback. On-chip force sensors are used for detecting contact between the microgripper and cells to be manipulated (resolution: 38.5nN) and sensing gripping forces (resolution: 19.9nN) during force-controlled grasping. The experimental results demonstrate that the microgripper and the control system are capable of rapid contact detection and reliable force-controlled micrograsping to accommodate variations in size and stiffness of cells with a high reproducibility.



Standards related to Pixel

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No standards are currently tagged "Pixel"