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检索条件"任意字段=Conference on Image Processing - Algorithms and Systems XI"

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IEEE VCIP 2013 - 2013 IEEE International conference on Visual Communications and image processing

IEEE VCIP 2013 - 2013 IEEE International Conference on Visua...

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2013 IEEE International conference on Visual Communications and image processing, IEEE VCIP 2013

ISBN: (纸本)9781479902903

The proceedings contain 132 papers. The topics discussed include: adaptive rounding operator for efficient Wyner-Ziv video coding;retina model inspired image quality assessment;color image guided locality regularized representation for kinect depth holes filling;motion vector refinement for frame rate up conversion on 3d video;efficient active contour model based on Vese-Chan model and split Bregman method;HEVC interpolation filter architecture for quad full HD decoding;correlation estimation for distributed wireless video communication;enhancing coded video quality with perceptual foveation driven bit allocation strategy;soft mobile video broadcast based on side information refining;quality enhancement based on retinex and pseudo-HDR synthesis algorithms for endoscopic images;and object co-segmentation based on directed graph clustering.

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Planet detection down to a few λ/D: an RSDI/TLOCI approach to PSF subtraction 5

Planet detection down to a few λ/D: an RSDI/TLOCI approach ...

引用

conference on Adaptive Optics systems V

作者： Gerard, Benjamin L. Marois, Christian Univ Victoria Dept Phys & Astron 3800 Finnerty Rd Victoria BC V8P 5C2 Canada Natl Res Council Canada 5071 West Saanich Rd Victoria BC V9E 2E7 Canada

ISBN: (纸本)9781510601987

Most current high contrast imaging point spread function (PSF) subtraction algorithms use some form of a least-squares noise minimization to find exoplanets that are, before post-processing, often hidden below the instrumental speckle noise. In the current standard PSF subtraction algorithms, a set of reference images is derived from the target image sequence to subtract each target image, using Angular and/or Simultaneous Spectral Differential Imaging (ADI, SSDI, respectively). However, to avoid excessive exoplanet self-subtraction, ADI and SSDI (in the absence of a strong spectral feature) severely limit the available number of reference images at small separations. This limits the performance of the least-squares algorithm, resulting in lower sensitivity to exoplanets at small angular separations. Possible solutions are to use additional reference images by acquiring longer sequences, use SSDI if the exoplanet is expected to show strong spectral features, or use images acquired on other targets. The latter option, known as Reference Star Differential Imaging (RSDI), which relies on the use of reference images that are highly correlated to the target image, has been ineffective in previous ground-based high contrast imaging surveys. The now >200 target reference library from the Gemini Planet imager Exoplanet Survey (GPIES) allows for a detailed RSDI analysis to possibly improve contrast performance near the focal plane mask, at similar to 2-7 lambda/D separations. We present the results of work to optimize PSF subtraction with the GPIES reference library using a least-squares algorithm designed to minimize speckle noise and maximize planet throughput, thus maximizing the planet signal to noise ratio (SNR). Using December 2014 51 Eri GPI data in the inner 100 mas to 300 mas annulus, we find no apparent improvement in SNR when using RSDI and/or our optimization scheme. This result, while still being investigated, seems to show that current algorithms on ADI+SSDI da

关键词： high contrast imaging PSF subtraction image processing

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Noise modeling for design and simulation of color imaging systems

Noise modeling for design and simulation of color imaging sy...

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Final Program and Proceedings of the IS and T and SID - 12th Color Imaging conference: Color Science and Engineering: systems, Technologies, Applications

作者： Wach, Hans B. Dowski Jr., Edward R. CDM Optics Inc. Boulder CO United States

Understanding signal and noise quantities in any practical color imaging system is critical. Often noise quantities are assumed to be independent of the signal, independent of color channel and either uniform or Gaussian additive. These simplistic models are not realistic and there is a need for accurate noise models in order to design optimal color imaging systems. Different noise characteristics between the individual color channels should be taken into account when developing demosaicing methods, noise reduction algorithms and other image processing tasks. The choice of color space in which to operate on a color image is also dependent on the noise characteristics of the sensor. It is also possible to optimize the filters in the CFA (color filter array) based on knowledge of the sensor noise. We describe a noise model for a modern APS CMOS detector and a number of noise sources. A method for characterizing the noise sources given a set of dark images and a set of flat field images is outlined. The noise characterization data is used to simulate dark images and flat field images. The simulated data is a very good match to the real data thus validating the model and characterization procedure.

关键词： Color image processing

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A systolic processor for signal processing 82

A systolic processor for signal processing

引用

1982 National Computer conference, AFIPS 1982

作者： Frank, G.A. Greenawalt, E.M. Kulkarni, A.V. ESL Incorporated San JoseCA United States

ISBN: (纸本)088283035X

A systolic array is a natural architecture for a high-performance signal processor, in part because of the extensive use of inner-product operations in signal processing. The modularity and simple interconnection of systolic arrays promise to simplify the development of cost-effective, high-performance, special-purpose processors. ESL Incorporated has built a proof of concept model of a systolic processor. It is flexible enough to permit experimentation with a variety of algorithms and applications. ESL is exploring the application of systolic processors to image- and signal-processing problems. This paper describes this experimental system and some of its applications to signal processing. ESL is also pursuing new types of systolic architectures, including the VLSI implementation of systolic cells for solving systems of linear equations. These new systolic architectures allow the real-time design of adaptive filters.

关键词： Systolic arrays

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image denoising with bank filters using the maximum likelihood estimation 5

Image denoising with bank filters using the maximum likeliho...

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conference on Computational Imaging V

作者： Bezuglov, D. Voronin, V. Russian Customs Acad Rostov Branch 20 Budyonnovsky Ave Rostov Na Donu 344002 Russia Moscow State Univ Technol STANKIN Ctr Cognit Technol & Machine Vis Vadkovsky 1 Moscow 127055 Russia Don State Tech Univ Lab Math Methods Image Proc & Intelligent Comp Vi Rostov Na Donu Russia

ISBN: (纸本)9781510635692

Recently, systems of intelligent image processing have been intensively developing. When solving problems of high complexity, modern methods of technical vision are required to increase the efficiency of the digital image processing process with the variability of the working scene, heterogeneity of objects, and interference. One of the trends in the development of modern information technologies is the development of highly efficient methods and algorithms for analyzing signals and images with background noises. When constructing highly-effective techniques and algorithms for image denoising, an a priori knowledge of the characteristics of distorting interference is required. In practice, in most cases, such information is missing. In this paper, we develop a new image denoising method with bank filters using the maximum likelihood estimation. We propose a new approach to using a set of heterogeneous digital image filters, such as a median filter, a Gabor filter, a non-local average filter, a spline filter, a wavelet filter, and others. The feasibility of this approach is determined by the fact that, as a rule, when considering the filtering process, a Gaussian character of the noise distribution density is assumed. Moreover, the effectiveness of various filtering methods on real images recorded against the background of noise will be different. This is due to the fact that under real observation conditions, the noise distribution density may differ from the Gaussian one. This explains the difference in the qualitative filtering characteristics of the same image by different filters. Experimental studies have shown the operability and high efficiency of the developed method, which allows improving the quality of image filtering.

关键词： image denoising median filter Gabor filter wavelet filter filter bank maximum likelihood estimation

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VisNow-Medical—A Visual Analysis Platform for Medical Data processing 10th

VisNow-Medical—A Visual Analysis Platform for Medical Data ...

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10th KES International conference on Innovation in Medicine and Healthcare, KES-InMed 2022

作者： Regulski, Piotr Szopinski, Kazimierz Department of Dental and Maxillofacial Radiology Faculty of Medicine and Dentistry Medical University of Warsaw Binieckiego 6 St Warsaw Poland

ISBN: (纸本)9789811934391

The VisNow Medical platform is a set of integrated algorithms for visual analysis of medical data and is an extension of the VisNow platform used for image processing and visualization. VisNow Medical platform emphasizes on the ease of development of case-specific, multi-platform medical applications, with the possibility of processing one-, two-, and three-dimensional data in terms of filtering, denoising, segmentation, mapping, classification, quantitative and qualitative visual processing. VisNow Medical facilitates the research and development process in medical field. This research presents several applications of the platform for magnetic resonance, computed tomography and image processing applications. © 2022, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.

关键词： Medical applications

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image Analysis and processing II 1

引用

1000年

作者： V. Cantoni V. Gesù S. Levialdi

ISBN: (数字)9781461310075

ISBN: (纸本)9780306429019;9781461282891

This book contains the proceedings of the 4th International conference on Data Analysis and processing held in Cefalu' (Palermo, ITALY) on September 23-25 1987. The aim of this conference, now at its fourth edition, was to give a general view of the actual research in the area of methods and systems for achieving artificial vision as well as to have an up-dated information of the current activity in Europe. A number of invited speakers presented overviews of statistical classification problems and methods, non conventional archi tectures, mathematical morphology, robotic vision, analysis of range images in vision systems, pattern matching algorithms and astronomical data processing. Finally a survey of the discussion on the contribution of AI to image Analysis is given. The papers presented at the conference have been subdivided in four sections: knowledge based approaches, basic pattern recognition tools, multi features system based solutions, image analysis-applications. We must thank the IBM-Italia and the Digital Equipment Corpo ration for sponsoring this conference. We feel that the days spent at Cefalu' were an important step toward the mutual exchange of scientific information within the image processing community. v. Cantoni Pavia University V. Di Gesu' Palermo University S. Levialdi Rome University v CONTENTS INVITED LECTURES . • • • • . • • • 3 Morphological Optics.

关键词： Computer Imaging, Vision, Pattern Recognition and Graphics Electrical Engineering

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Efficient user-adaptable similarity search in large multimedia databases 23

Efficient user-adaptable similarity search in large multimed...

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23rd International conference on Very Large Databases, VLDB 1997

作者： Seidl, Thomas Kriegel, Hans-Peter Institute for Computer Science University of Munich Germany

ISBN: (纸本)1558604707

Efficient user-adaptable similarity search more and more increases in its importance for multimedia and spatial database systems. As a general similarity model for multi-dimensional vectors that is adaptable to application requirements and user preferences, we use quadratic form distance functions dA(x, y) = (x-y) A {x-y)T which have been successfully applied to color histograms in image databases [Fal+ 94]. The components a,y of the matrix A denote similarity of the components i and j of the vectors. Beyond the Euclidean distance which produces spherical query ranges, the similarity distance defines a new query type, the ellipsoid query. We present new algorithms to efficiently support ellipsoid query processing for various user-defined similarity matrices on existing precomputed indexes. By adapting techniques for reducing the dimensionality and employing a multi-step query processing architecture, the method is extended to high-dimensional data spaces. In particular, from our algorithm to reduce the similarity matrix, we obtain the greatest lower-bounding similarity function thus guaranteeing no false drops. We implemented our algorithms in C++ and tested them on an image database containing 12,000 color histograms. The experiments demonstrate the flexibility of our method in conjunction with a high selectivity and efficiency.

关键词： Query processing

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Brain Tumor analysis Based on Shape Features of MRI using Machine Learning 5

Brain Tumor analysis Based on Shape Features of MRI using Ma...

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5th International conference on Computing, Communication Control and Automation (ICCUBEA)

作者： Asodekar, Bhagyashri H. Gore, Sonal A. Thakare, A. D. Pimpri Chinchwad Coll Engn Dept Comp Engn Pune Maharashtra India

ISBN: (纸本)9781728140421

Nowadays there is need to develop Computer Aided Diagnosis (CAD) systems for diagnosis of brain tumor. Brain tumor detection at early stage has become very important. In experimentation, brain tumor magnetic resonance images (MRI) are used to detect and classify the malignant and benign brain tumors. MRI images are extracted from MICCAI BraTS 2015 dataset. Brain tumor are segmented by using image processing techniques. For feature extraction shape-based features are used. Extracted shape-based features are fed to machine learning algorithms as support vector machine and random forest algorithm to classify benign and malignant brain tumors. It achieved the accuracy for random forest is 86.66%.

关键词： MRI brain tumor Computer Aided Diagnostic system image processing shape features classification

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Development and evaluation of six gamut-mapping algorithms for pictorial images

Development and evaluation of six gamut-mapping algorithms f...

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Final Program and Proceedings of the 7th IS and T/SID Color Imaging conference: Color Science, systems and Applications

作者： Braun, Karen M. Balasubramanian, Raja Eschbach, Reiner Digital Imaging Technology Center Xerox Corporation Rochester NY United States

Six techniques for mapping the colors of an image into the gamut of printable colors were compared. Six pictorial scenes were used in two psychophysical experiments, one to test accurate reproduction and one to test preferred reproduction. A new contrast-enhancing algorithm was found to give more favorable reproductions than several gamut-mapping techniques described in the literature. This algorithm performs luminance compression by applying an inverted power function to images in a linear RGB color space: 1 - (1 - RGB)γ. Remaining out-of-gamut pixels are clipped to the gamut surface in the direction of a central point on the neutral axis. Other algorithms that performed well were those that clip out-of-gamut colors to the surface of the gamut, and do not affect colors within the gamut. These algorithms can sometimes result in undesirable artifacts for certain images, including contouring and loss of shadow detail. However, observers did not object to the loss of shadow detail if the colorfulness of the image was maintained or increased. Also, the results of a matching experiment (original present) and a preference experiment gave quite different results. Clipping algorithms did well in the matching experiments, while contrast boosting algorithms did best in the preference matching. The preferred techniques did well in both experiments.

关键词： Color image processing

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