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检索条件"任意字段=Conference on Wavelet Applications in Signal and Image Processing V"

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TRANSMISSION OF LOW-MOTION JPEG2000 image SEQUENCES USING CLIENT-DRIvEN CONDITIONAL REPLENISHMENT

TRANSMISSION OF LOW-MOTION JPEG2000 IMAGE SEQUENCES USING CL...

引用

International conference on signal processing and Multimedia applications

作者： J. J. Sanchez-Hernandez J. P. Garcia-Ortiz v. Gonzalez-Ruiz I. Garcia D. Muller University of Almeria Comp. Architecture and Electronics Dept. European Space Agency ESTEC

ISBN: (纸本)9789898425720

This work proposes a strategy for browsing interactively sequences of high resolution JPEG 2000 remote images. These sequences can be displayed in any order (forward and backward) and following any play/timing pattern. In order to increase the quality of the reconstructions where the retrieved images are only known at the moment of the visualization, this work has proposed and evaluated a novel technique based on conditional replenishment. This solution profits from the SNR/Spatial scalability of JPEG 2000 to determine which regions of the next image should be transmitted and what regions should be reused from the previously reconstructed image. Experimental results demonstrate that, even without motion compensation and with a transmission exclusively controlled by the client, the reconstructions are consistently better, both visually and from a rate-distortion point of view, than those that only remove the spatial redundancy (such as Motion JPEG 2000). Other advantages of our approach are that no data overhead is generated, the computational complexity is very small compared to similar techniques, and the fact that it can be used with any JPIP server.

关键词： JPEG 2000 Conditional replenishment video transmission

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RADON TRANSFORM: image RECONSTRUCTION AND IDENTIFICATION OF NOISE AND INSTRUMENTAL ARTIFACTS

RADON TRANSFORM: IMAGE RECONSTRUCTION AND IDENTIFICATION OF ...

引用

signal processing and Communications applications conference

作者： Mario D'Acunto Antonio Benassi Davide Moroni Ovidio Salvetti Istituto di Struttura della Materia and Istituto di Scienza e Tecnologie dell'Informazione Consiglio Nazionale delle Ricerche Istituto di Scienza e Tecnologie dell'Informazione Consiglio Nazionale delle Ricerche

ISBN: (纸本)9781479948734

Computed Tomography as well as Magnetic Resonance or Positron Electron Tomography are currently the most commonly used medical imaging modalities for the analysis of human body complex structures and organs, where diseases must be recognized and identified. The image reconstruction process used in these tomography techniques is usually based on the Radon Transform (RT). In this paper, an algorithm including correction of noise and of some instrumental artifacts directly from the RT sinograms is presented. The innovative contribution of our algorithm is based on the fact that it is not necessary a priori information on instrumental artifacts or noise sources. In addition, the algorithm can be applied to any RT-based medical imaging technologies.

关键词： Radon Transform Computed Tomography Magnetic Resonance Noise and Instrumental Artifacts

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Lossy image Compression using SvD Coding Algorithm

Lossy Image Compression using SVD Coding Algorithm

引用

International conference on Wireless Communications, signal processing and Networking

作者： K. M. Aishwarya Rachana Ramesh Preeti. M. Sobarad vipula Singh Department of Electronics and Communication Engineering R.N. Shetty Institute of Technology (RNSIT) Bangalore India

ISBN: (纸本)9781467393393

Singular value Decomposition (SvD) deals with the decomposition of general matrices which has proven to be useful for numerous applications in science and engineering disciplines. In this paper the method of SvD has been applied to mid-level digital image processing. SvD transforms a given matrix into three different matrices, which in other words, means refactoring the digital image into three matrices. Refactoring is achieved by using singular values, and the image is represented with a smaller set of values. The primary aim is to achieve image compression by using less storage space in the memory and simultaneously preserving the useful features of original image. The experiments with different singular values are performed and the performance evaluation parameters for image compression viz. Compression Ratio, Mean Square Error, PSNR and Compressed Bytes are calculated for each SvD coefficient. The implementation tool for the tests and experiments is MATLAB.

关键词： image processing image Compression Singular value Decomposition Lowest Rank-k Approximation

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SPATIO-TEMPORAL DEPTH DATA RECONSTRUCTION FROM A SUBSET OF SAMPLES

SPATIO-TEMPORAL DEPTH DATA RECONSTRUCTION FROM A SUBSET OF S...

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IEEE Global conference on signal and Information processing

作者： Lee-kang Liu Truong Nguyen University of California San Diego Department of Electrical and Computer Engineering

ISBN: (纸本)9781479975921

High-quality depth data is needed in many advanced computer vision as well as 3D and virtual reality applications. To surpass the hardware limitations, computational approaches are commonly exploited, and the solutions are from the intersection of two fundamental problems, depth map superresolution and inpainting, leading to a general problem of reconstructing depth data from a subset of samples. Extending our previous work [1], we propose a spatio-temporal depth reconstruction (STDR) algorithm, which is scalable to temporal volume. We also present an updated parameter tuning approach and a speed-up scheme for depth video reconstruction application. Experimental results show that the proposed STDR algorithm outperforms the existing methods and is robust to varying temporal volumes.

关键词： Sparse reconstruction spatio-temporal volume dense disparity estimation 3-dimensional wavelet transform alternating directional method of multipliers spatio-temporal consistency

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Bacterial Foraging Algorithm for the Robust Design of Multimachine Power System Stabilizer

Bacterial Foraging Algorithm for the Robust Design of Multim...

引用

2011 International conference on signal,image processing and applications（ICSIA 2011）

作者： G.Naresh M.Ramalinga Raju S.v.L.Narasimham Department of E.E.E. Pragati Engineering CollegeSurampalem Department of E.E.E. University College of EngineeringJ.N.T.U.Kakinada Department of C.S.E. School of Information TechnologyJ.N.T.U.Hyderabad

In this paper,a novel bacterial foraging algorithm(BFA)based approach for optimal design of the parameters of modern power system stabilizers(PSSs)is proposed for damping low frequency power oscillations of a multi-machine power *** paper attempts to optimize three constants each of several PSSs present in a multi-machine power system based on foraging behaviour of Escherichia coli bacteria in human intestine.A multi-objective problem is formulated to optimize a composite set of objective functions comprising the damping factor,and the damping ratio of the lightly damped electromechanical *** problem of robustly selecting the parameters of the power system stabilizers is converted to an optimization problem which is solved by a bacterial foraging algorithm with the eigenvalue-based multi-objective *** eigenvalue analysis and non-linear simulation results presented under wide range of operating conditions show the effectiveness and robustness of the proposed BFAPSS and its ability to provide efficient damping of low frequency ***,all these time domain simulation results are compared with conventional PSS and genetic algorithm based PSS to show the superiority of the proposed design approach.

关键词： Power system stabilizer(PSS),Bacterial foraging algorithm(BFA),Multi-machine power system.

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CSS Based Trademark Retrieval system

CSS Based Trademark Retrieval system

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International conference on Electronic Systems, signal processing and Computing

作者： Dayanand Jamkhandikar v. D. Mytri Research Scholar C.S.& E. Department NIMS UNIVERSITY JAIPUR INDIA Principal Appa Institute of Engineering & Technology GULBARGA INDIA

ISBN: (纸本)9781479921041

World is emerging with trade practices in the global scenario. Trademarks today play a very critical and important role. Trademark registration and its evaluation for distinctiveness is becoming very tedious job for registration offices. Millions of trademarks had already registered and millions of applications are filed for trademarks registration. There are different techniques and approaches currently in use for distinctness check for trademarks. The proposed method is used for retrieval of trademarks and it uses the maxima of curvature zero crossing contours of Curvature Scale Space image (CSS) as a feature vector to represent the shapes of object boundary contours. The matching algorithm, which compares two sets of maxima and assigns matching value as a measure of similarity. The major advantage with CSS technique is that CSS representation of the image is robust with respect to noise, scale, and orientation changes of the image. Each retrieval takes a reasonable amount of computation time. The top most retrieved images by the system agree with that obtained by human perception.

关键词： Content Based image Retrieval Trademark Retrieval Curvature scale space Contour edge detection

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Fuzzy type image Fusion using hybrid DCT-FFT based Laplacian Pyramid Transform

Fuzzy type Image Fusion using hybrid DCT-FFT based Laplacian...

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International conference on Communications and signal processing

作者： Rajesh Kumar Kakerda Mahendra Kumar Garima Mathur R P Yadav Jagdish Prasad Maheshwari the Department of Electronics & Communication Engineering JEC Kukas Jaipur India Department of Electronics & Communication Engineering University College of Engineering RTU Kota India. the Department of Electronics & Communication Engineering MNIT Jaipur India

ISBN: (纸本)9781479980826

This paper presents a fuzzy type image fusion technique using hybrid discrete Cosine transform (DCT) - Fast Fourier Transform (FFT) based laplacian pyramid. It is concluded that fusion with higher level of pyramid provides better fusion quality. This technique can be used for fusion of fuzzy images as well as multi model image fusion. The proposed algorithm is very simple, easy to implement and could be used for real time applications. This is paper also provided comparatively studied between proposed and previous existing technique and validation of the proposed algorithm as Peak signal to Noise Ratio (PSNR), Root Mean Square Error (RMSE) and Correlation (CORR).

关键词： Correlation Fuzzy type image Hybrid DCT-FFT PSNR RMSE

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Improvement of Compressive Sampling Based Approaches in images Fusion

Improvement of Compressive Sampling Based Approaches in Imag...

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Iranian conference on Electrical Engineering

作者： Saeedeh Zebhi Masoud Reza Aghabozorgi Sahaf Mohammad T. Sadeghi Signal Processing Research Group Electrical and Computer Engineering Department Yazd University

ISBN: (纸本)9781467311496

Compressed Sensing (CS) is a new signal acquisition technique that allows sampling of sparse signals using significantly fewer measurements than previously thought possible. In this paper, we propose an efficient image fusion method for compressed sensing imaging. First, we calculate the two-dimensional discrete cosine transform of multiple input images, these achieved measurements are multiplied with sampling filter, so compressed images are resulted, we take inverse discrete cosine transform of these results and convert them to vectors. Now, fusion is performed on the wavelet approximation and detail coefficients of vectors separately. The fused vector receives from these fused coefficients. Finally, the fused vector arranges to the fused image. Simulation results show that our method provides promising fusion performance with a low computational complexity.

关键词： Compressive sampling image fusion

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An effective quality inspection system using image processing Techniques

An effective quality inspection system using Image processin...

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International conference on Communications and signal processing

作者： Santosh Kumar Sahoo Sandipan Pine Sumant Kumar Mohapatra B. B. Choudhury Utkal University department of Electronics communication Engineering at Trident Academy of Technology Mechanical Engineering Department IGIT

ISBN: (纸本)9781479980826

An Inspection is a study of methods and techniques that can be suitably employed in practical applications. In this paper, a new activity is proposed and analysis framework to facilitate the inspection of a cylindrical object using coordinate conversion technique along with pattern matching which is again verified by machine vision technique in which maximum efficiency can be achieved. By using LABvIEW software and vision builder software the quality of an object in terms of linearity can be investigated by using different image processing techniques such as image compression, image restoration etc. along with the various image processing functions like special filters and classifiers to compute the optimum results. Using smart camera in the inspection system the static as well as the dynamic object is captured in fraction of seconds without any blurs;as a result the optimum image quality without any distortion is obtained for better analysis. The proposed system is very precise, accurate and flexible with reasonable development cost compared to other model. With the aid of an Industrial robotic system with simulation software the object is replaced immediately when the same is rejected by the machine vision model. Apart from this, the proposed model can be implemented for any type of manufacturing unit.

关键词： LABvIEW Smart Camera Industrial Robot

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Performance of coded Joint transmit scheme aided MIMO-IDMA system for secured medical image transmission

Performance of coded Joint transmit scheme aided MIMO-IDMA s...

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International conference on Communications and signal processing

作者： K.S. vishvaksenan K. Mithra the Dept. of ECE SSN College of Engineering Chennai.

ISBN: (纸本)9781479980826

In this paper, we investigate the performance of multiple-input multiple-output aided coded interleave division multiple access (IDMA) system for secured medical image transmission through wireless communication. We realize the MIMO profile using four transmit antennas at the base station and three receive antennas at the mobile station. We achieve bandwidth efficiency using discrete wavelet transform (DWT). Further we implement Arnold's Cat Map (ACM) encryption algorithm for secured medical transmission. We consider celulas as medical image which is used to differentiate between normal cell and carcinogenic cell. In order to accommodate more users' image, we consider IDMA as accessing scheme. At the mobile station (MS), we employ non-linear minimum mean square error (MMSE) detection algorithm to alleviate the effects of unwanted multiple users image information and multi-stream interference (MSI) in the context of downlink transmission. In particular, we investigate the effects of three types of delay-spread distributions pertaining to Stanford university interim (SUI) channel models for encrypted image transmission of MIMO-IDMA system. From our computer simulation, we reveal that DWT based coded MIMO- IDMA system with ACM provides superior picture quality in the context of DL communication while offering higher spectral efficiency and security.

关键词： Double space-time transmit diversity (DSTTD) LTE channel model multiple input multiple output (MIMO) multi-user detection (MUD) multiple access interference (MAI) multi Stream interference (MSI) SUI channel model

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