Interpolation

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In the mathematical field of numerical analysis, interpolation is a method of constructing new data points within the range of a discrete set of known data points. (Wikipedia.org)






Conferences related to Interpolation

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2013 Computing in Cardiology Conference (CinC)

Provide a forum for scientists and professionals from the fields of medicine, physics, engineering and computer science to discuss their current research in topics pertaining to computing in clinical cardiology and cardiovascular physiology.

  • 2012 Computing in Cardiology Conference (CinC)

    Provide a forum for scientists and professionals from the fields of medicine, physics, engineering and computer science to discuss their current research in topics pertaining to computing in clinical cardiology and cardiovascular physiology.

  • 2011 Computing in Cardiology Conference (CinC)

    Provides a forum for scientists and professionals from the fields of medicine, physics, engineering and computer science to discuss their current research in topics pertaining to computing in clinical cardiology and cardiovascular physiology.

  • 2010 Computing in Cardiology (CinC)

    Computing in Cardiology (formerly Computers in Cardiology) is one of the premier events focusing on computer applications in clinical cardiology and cardiovascular research. The conference fosters interdisciplinary discussions and collaboration among physicians, engineers, physicists, biologists, computer scientists and others in research and development in Cardiology.

  • 2009 36th Annual Computers in Cardiology Conference (CinC)

    The Computers in Cardiology conference provides an international forum for scientific presentations focusing on computer applications in clinical cardiology and cardiovascular research. The conference fosters interdisciplinary discussions and collaboration between physicians, engineers, physicists, biologists, computer scientists and others engaged in research in this area.


2012 54th International Symposium ELMAR

Image and Video Processing; Multimedia Communications; Speech and Audio Processing; Wireless Commununications; Telecommunications; Antennas and Propagation; e-Learning and m-Learning; Navigation Systems; Ship Electronic Systems; Power Electronics and Automation; Naval Architecture; Sea Ecology.

  • 2011 53rd International Symposium ELMAR

    Image and Video Processing; Multimedia Communications; Speech and Audio Processing; Wireless Commununications; Telecommunications; Antennas and Propagation; e-Learning and m-Learning; Navigation Systems; Ship Electronic Systems; Power Electronics and Automation; Naval Architecture; Sea Ecology

  • 2010 52nd International Symposium ELMAR

    Image and Video Processing; Multimedia Communications; Speech and Audio Processing; Wireless Commununications; Telecommunications; Antennas and Propagation; e -Learning and m-Learning; Navigation Systems; Ship Electronic Systems; Power Electronics and Automation; Naval Architecture; Sea Ecology


2011 IEEE International Conference on Intelligent Computing and Intelligent Systems (ICIS 2011)

The scope of the conference includes, but not limited to AI, Artificial Life and Artificial Immune Systems, Cloud Computing, Computer Vision, Data Mining, Fuzzy System, Genetic Algorithms, Information Retrieval, Intelligent Control, Robotics, Machine Learning, Machine Translation, Neural Networks, Rough Set, Systems Biology, Video & Image Processing

  • 2010 IEEE International Conference on Intelligent Computing and Intelligent Systems (ICIS 2010)

    AI, Artificial Life and Artificial Immune Systems, Cloud Computing, Computer Vision, Data Mining, Fuzzy System, Genetic Algorithms, Information Retrieval, Intelligent Control, Robotics, Machine Learning, Machine Translation, Neural Networks, Rough Set, Systems Biology, Video & Image Processing, etc.

  • 2009 IEEE International Conference on Intelligent Computing and Intelligent Systems (ICIS 2009)

    The scope of the conference includes, but not limited to AI, Artificial Life and Artificial Immune Systems, Cloud Computing, Computer Vision, Data Mining, Fuzzy System, Genetic Algorithms, Information Retrieval, Intelligent Control, Robotics, Machine Learning, Machine Translation, Neural Networks, Rough Set, Systems Biology, Video & Image Processing, etc.


2010 6th International Conference on Wireless and Mobile Communications (ICWMC)

The Sixth International Conference on Wireless and Mobile Communications (ICWMC 2010) in Spain follows on the previous events on advanced wireless technologies, wireless networking, and wireless applications.


2010 International Conference on Electrical and Control Engineering (ICECE)

recent advances, new techniques and applications in the field of Electrical Engineering and Automation Control.


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Periodicals related to Interpolation

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Fuzzy Systems, IEEE Transactions on

Theory and application of fuzzy systems with emphasis on engineering systems and scientific applications. (6) (IEEE Guide for Authors) Representative applications areas include:fuzzy estimation, prediction and control; approximate reasoning; intelligent systems design; machine learning; image processing and machine vision;pattern recognition, fuzzy neurocomputing; electronic and photonic implementation; medical computing applications; robotics and motion control; constraint propagation and optimization; civil, chemical and ...


Image Processing, IEEE Transactions on

Signal-processing aspects of image processing, imaging systems, and image scanning, display, and printing. Includes theory, algorithms, and architectures for image coding, filtering, enhancement, restoration, segmentation, and motion estimation; image formation in tomography, radar, sonar, geophysics, astronomy, microscopy, and crystallography; image scanning, digital half-toning and display, andcolor reproduction.


Multimedia, IEEE Transactions on

The goal of IEEE Transactions on Multimedia is to integrate all aspects of multimedia systems and technology, signal processing, and applications. It will cover various aspects of research in multimedia technology and applications including, but not limited to: circuits, algorithms and macro/micro-architectures, software, detailed design, synchronization, interaction, joint processing and coordination of multimedia and multimodal signals/data, compression, storage, retrieval, communication, ...


Signal Processing, IEEE Transactions on

The technology of transmission, recording, reproduction, processing, and measurement of speech; other audio-frequency waves and other signals by digital, electronic, electrical, acoustic, mechanical, and optical means; the components and systems to accomplish these and related aims; and the environmental, psychological, and physiological factors of thesetechnologies.


Very Large Scale Integration (VLSI) Systems, IEEE Transactions on

Integrated circuits and systems;VLSI based Architecture and applications; highspeed circuits and interconnect; mixed-signal SoC; speed/area/power/noise tradeoffs in CMOS circuits.




Xplore Articles related to Interpolation

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A higher-order Nyström scheme for electromagnetic scattering by arbitrarily shaped surfaces

Mei Song Tong; Weng Cho Chew IEEE Antennas and Wireless Propagation Letters, 2005

A higher-order Nystrom scheme is developed for electromagnetic scattering by arbitrary conducting scatterers. In our implementation, we employ a superparametric geometry mapping for arbitrary curvilinear surfaces to minimize the geometry error. The local correction for singular integral kernels is manipulated efficiently with the Lagrange interpolation of the unknown functions followed by singularity extraction and Duffy's transformation. Since this local correction ...


A new accurate and fast algorithm of sub-pixel image registration

Jinbo Lu; Bin He IEEE 10th INTERNATIONAL CONFERENCE ON SIGNAL PROCESSING PROCEEDINGS, 2010

In terms of large field view and multi-channel TDICCD remote sensing images, previous interpolation methods and curve fitting methods are not able to achieve the high accuracy and fast registration, and their noise immunity and robustness is not high. For that, this paper presents a more accurate and faster method, iterative pixel interpolation and surface fitting method. Firstly, the method ...


Boundary Matting for View Synthesis

S. W. Hasinoff; Sing Bing Kang; R. Szeliski 2004 Conference on Computer Vision and Pattern Recognition Workshop, 2004

In the last few years, new view synthesis has emerged as an important application of 3D stereo reconstruction. While the quality of stereo has improved, it is still imperfect, and a unique depth is typically assigned to every pixel. This is problematic at object boundaries, where the pixel colors are mixtures of foreground and background colors. Interpolating views without explicitly ...


Research on Color Conversion Model Based on Looking-Up Table in FM Halftoning Technique

Du Bin; Zhou Shi-sheng; Li Ju; Li Ni 2008 International Conference on Computer Science and Software Engineering, 2008

This paper mainly discusses the problem about how to establish color conversion model of FM halftoning technique between the device-independent color space CIELAB or XYZ and the device-dependent color space CMY. Although there are many color conversion models, the research of color conversion about FM halftoning technique is scarcely any research. Above all, through analyzing the existed color conversion models ...


The wavelet based trained filter for image interpolation

Adrian Nakonechny; Zenoviy Veres 2016 IEEE First International Conference on Data Stream Mining & Processing (DSMP), 2016

The paper presents the enhancement for the ADRC based trained filter by employment of the wavelet transform and SSIM optimization for video interpolation. The experimental results proves usage of the proposed approach for sequences with low bitrates in order to receive better image quality.


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Educational Resources on Interpolation

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eLearning

A higher-order Nyström scheme for electromagnetic scattering by arbitrarily shaped surfaces

Mei Song Tong; Weng Cho Chew IEEE Antennas and Wireless Propagation Letters, 2005

A higher-order Nystrom scheme is developed for electromagnetic scattering by arbitrary conducting scatterers. In our implementation, we employ a superparametric geometry mapping for arbitrary curvilinear surfaces to minimize the geometry error. The local correction for singular integral kernels is manipulated efficiently with the Lagrange interpolation of the unknown functions followed by singularity extraction and Duffy's transformation. Since this local correction ...


A new accurate and fast algorithm of sub-pixel image registration

Jinbo Lu; Bin He IEEE 10th INTERNATIONAL CONFERENCE ON SIGNAL PROCESSING PROCEEDINGS, 2010

In terms of large field view and multi-channel TDICCD remote sensing images, previous interpolation methods and curve fitting methods are not able to achieve the high accuracy and fast registration, and their noise immunity and robustness is not high. For that, this paper presents a more accurate and faster method, iterative pixel interpolation and surface fitting method. Firstly, the method ...


Boundary Matting for View Synthesis

S. W. Hasinoff; Sing Bing Kang; R. Szeliski 2004 Conference on Computer Vision and Pattern Recognition Workshop, 2004

In the last few years, new view synthesis has emerged as an important application of 3D stereo reconstruction. While the quality of stereo has improved, it is still imperfect, and a unique depth is typically assigned to every pixel. This is problematic at object boundaries, where the pixel colors are mixtures of foreground and background colors. Interpolating views without explicitly ...


Research on Color Conversion Model Based on Looking-Up Table in FM Halftoning Technique

Du Bin; Zhou Shi-sheng; Li Ju; Li Ni 2008 International Conference on Computer Science and Software Engineering, 2008

This paper mainly discusses the problem about how to establish color conversion model of FM halftoning technique between the device-independent color space CIELAB or XYZ and the device-dependent color space CMY. Although there are many color conversion models, the research of color conversion about FM halftoning technique is scarcely any research. Above all, through analyzing the existed color conversion models ...


The wavelet based trained filter for image interpolation

Adrian Nakonechny; Zenoviy Veres 2016 IEEE First International Conference on Data Stream Mining & Processing (DSMP), 2016

The paper presents the enhancement for the ADRC based trained filter by employment of the wavelet transform and SSIM optimization for video interpolation. The experimental results proves usage of the proposed approach for sequences with low bitrates in order to receive better image quality.


More eLearning Resources

IEEE-USA E-Books

  • No title

    The adiabatic quantum computation (AQC) is based on the adiabatic theorem to approximate solutions of the Schrodinger equation. The design of an AQC algorithm involves the construction of a Hamiltonian that describes the behavior of the quantum system. This Hamiltonian is expressed as a linear interpolation of an initial Hamiltonian whose ground state is easy to compute, and a final Hamiltonian whose ground state corresponds to the solution of a given combinatorial optimization problem. The adiabatic theorem asserts that if the time evolution of a quantum system described by a Hamiltonian is large enough, then the system remains close to its ground state. An AQC algorithm uses the adiabatic theorem to approximate the ground state of the final Hamiltonian that corresponds to the solution of the given optimization problem. In this book, we investigate the computational simulation of AQC algorithms applied to the MAX-SAT problem. A symbolic analysis of the AQC solution is given in rder to understand the involved computational complexity of AQC algorithms. This approach can be extended to other combinatorial optimization problems and can be used for the classical simulation of an AQC algorithm where a Hamiltonian problem is constructed. This construction requires the computation of a sparse matrix of dimension 2ⁿ × 2ⁿ, by means of tensor products, where n is the dimension of the quantum system. Also, a general scheme to design AQC algorithms is proposed, based on a natural correspondence between optimization Boolean variables and quantum bits. Combinatorial graph problems are in correspondence with pseudo-Boolean maps that are reduced in polynomial time to quadratic maps. Finally, the relation among NP-hard problems is investigated, as well as its logical representability, and is applied to the design of AQC algorithms. It is shown that every monadic second-order logic (MSOL) expression has associated pseudo- Boolean maps that can be obtained y expanding the given expression, and also can be reduced to quadratic forms. Table of Contents: Preface / Acknowledgments / Introduction / Approximability of NP-hard Problems / Adiabatic Quantum Computing / Efficient Hamiltonian Construction / AQC for Pseudo-Boolean Optimization / A General Strategy to Solve NP-Hard Problems / Conclusions / Bibliography / Authors' Biographies

  • Sampling, Interpolation, and Random Pulse Trains

    This chapter contains sections titled: Discrete Sampling (Continuous Random Series) Discrete Sampling (Interpolation) Random Pulse Trains with Periodic Structure Aperiodic Nonoverlapping Random Pulse Trains Overlapping Random Pulses This chapter contains sections titled: References

  • Support Vector Machines on a Budget

    The standard Support Vector Machine formulation does not provide its user with the ability to explicitly control the number of support vectors used to define the generated classifier. We present a modified version of SVM that allows the user to set a budget parameter B and focuses on minimizing the loss attained by the B worst-classified examples while ignoring the remaining examples. This idea can be used to derive sparse versions of both L1-SVM and L2-SVM. Technically, we obtain these new SVM variants by replacing the 1-norm in the standard SVM formulation with various interpolation-norms. We also adapt the SMO optimization algorithm to our setting and report on some preliminary experimental results.

  • The Interpolation Algorithm

    This chapter contains sections titled: Conversion to the Image Domain, The Gradient Projection Interpolation Algorithm, Examples of Interpolation, The Conjugate Gradient Approximation Algorithm, Examples of Approximation, Summary

  • Using Triangularly Weighted Interpolation to Get 13Bit PCM from a SigmaDelta

    We present and analyze a method of interpolation that improves the amplitude resolution of an analog-to-digital converter. The technique requires feedback around a quantizer that operates at high speed and digital accumulation of its quantized values to provide a PCM output. We show that use of appropriate weights in the accumulation has important advantages for providing finer resoution, less spectral distortion, and white quantization noise. The theoretical discussion is supplemented by the report of a practical converter designed especially to show up the strengths and weaknesses of the technique. This converter comprises a sigma-delta modulator operating at 8 MIIz and an accumulation of the 1-bit code with triangularly distributed weights. 13-bit resolution at 8 kwords/s is realized by periodically dumping the accumulation to the output. We present a practical method for overcoming a thresholding action that distorts low-amplitude input signals.

  • Channel Estimation

    This chapter discusses the channel estimation methods for the OFDM system, which employ various interpolation techniques to estimate the channel response at the subcarriers between pilot tones. It also includes the ready-to-run MATLAB? programs to be used for the simulation.

  • No title

    Motion estimation is a long-standing cornerstone of image and video processing. Most notably, motion estimation serves as the foundation for many of today's ubiquitous video coding standards including H.264. Motion estimators also play key roles in countless other applications that serve the consumer, industrial, biomedical, and military sectors. Of the many available motion estimation techniques, optical flow is widely regarded as most flexible. The flexibility offered by optical flow is particularly useful for complex registration and interpolation problems, but comes at a considerable computational expense. As the volume and dimensionality of data that motion estimators are applied to continue to grow, that expense becomes more and more costly. Control grid motion estimators based on optical flow can accomplish motion estimation with flexibility similar to pure optical flow, but at a fraction of the computational expense. Control grid methods also offer the added benefit of repres nting motion far more compactly than pure optical flow. This booklet explores control grid motion estimation and provides implementations of the approach that apply to data of multiple dimensionalities. Important current applications of control grid methods including registration and interpolation are also developed. Table of Contents: Introduction / Control Grid Interpolation (CGI) / Application of CGI to Registration Problems / Application of CGI to Interpolation Problems / Discussion and Conclusions

  • Making Data Global

    This chapter contains sections titled: Automating Error Detection and Data Entry, Objective Analysis, "Models Almost All the Way Down", Everything, All the Time: From Interpolation to 4-D Data Assimilation, The Global Instrument: Integrating Satellites, From Reductionism to Reproductionism: Data-Laden Models and Simulation Science, Model-Data Symbiosis, Versions of the Atmosphere: The Changing Meaning of "Data"

  • No title

    Irradiance caching is a ray tracing-based technique for computing global illumination on diffuse surfaces. Specifically, it addresses the computation of indirect illumination bouncing off one diffuse object onto another. The sole purpose of irradiance caching is to make this computation reasonably fast. The main idea is to perform the indirect illumination sampling only at a selected set of locations in the scene, store the results in a cache, and reuse the cached value at other points through fast interpolation. This book is for anyone interested in making a production-ready implementation of irradiance caching that reliably renders artifact-free images. Since its invention 20 years ago, the irradiance caching algorithm has been successfully used to accelerate global illumination computation in the Radiance lighting simulation system. Its widespread use had to wait until computers became fast enough to consider global illumination in film production rendering. Since then, its use is biquitous. Virtually all commercial and open-source rendering software base the global illumination computation upon irradiance caching. Although elegant and powerful, the algorithm in its basic form often fails to produce artifact-free mages. Unfortunately, practical information on implementing the algorithm is scarce. The main objective of this book is to show the irradiance caching algorithm along with all the details and tricks upon which the success of its practical implementation is dependent. In addition, we discuss some extensions of the basic algorithm, such as a GPU implementation for interactive global illumination computation and temporal caching that exploits temporal coherence to suppress flickering in animations. Our goal is to show the material without being overly theoretical. However, the reader should have some basic understanding of rendering concepts, ray tracing in particular. Familiarity with global illumination is useful but not necessary to read this book. Tab e of Contents: Introduction to Ray Tracing and Global Illumination / Irradiance Caching Core / Practical Rendering with Irradiance Caching / Irradiance Caching in a Complete Global Illumination / Irradiance Caching on Graphics Hardware / Temporal Irradiance Caching

  • Interpolation and Decimation Filters

    This chapter shifts the emphasis to the design of the companion digital interpolation and decimation filters. The combination of an analog or digital delta¿¿¿sigma modulator with its companion digital decimation or interpolation functions constitutes a full delta¿¿¿sigma analog¿¿¿to¿¿¿digital converters (ADC) or digital to analog converters (DAC) system. The transfer function of a decimation filter can be used in an interpolation filter, and block diagrams can be turned around to transform a decimation filter into an interpolation filter, and vice versa. The simplest interpolation filter is the zero¿¿¿order hold (ZOH), which instead of zero stuffing the low¿¿¿rate input data to produce high¿¿¿rate data simply holds each sample of the low¿¿¿rate data for N high¿¿¿rate periods. The reader is reminded that the system must be initialized properly and that it is vulnerable to arithmetic errors unless further precautions are taken. The primary reason for the increase is the more stringent stop band specification. The one mitigating factor is that the input word width is typically only a few bits, and thus the additions in the first (highest¿¿¿rate) stage have a lower power penalty than those in subsequent stages.



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