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检索条件"任意字段=Image Processing: Algorithms and Systems VII"

共 86 条记录，以下是21-30 订阅

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An unified approach for convolution-based image filtering on reconfigurable systems

An unified approach for convolution-based image filtering on...

引用

Southern Conference on Programmable Logic

作者： Jones Y. Mori Camilo Sánchez-Ferreira Daniel M. Muñoz Carlos H. Llanos Pedro Berger Department of Mechanical Engineering University of Brasilia Brazil Department of Computer Science University of Brasilia Brazil

Currently the market and the academic community have required applications of image and video processing with several real-time constraints. In order to seek an alternative design that allows the rapid development of real time image processing systems this paper proposes an unified hardware architecture for some image filtering algorithms in space domain, such as windowing-based operations, which are implemented on FPGAs (Field Programmable Gate Arrays). For achieving this, six different filters have been implemented in a parallel approach, separating them in simple hardware structures, allowing the algorithms to explore their parallel capabilities by using a simple systolic architecture. In this system all implemented algorithms run in parallel allowing the user to select a defined output for depicting it in a display. Both image processing and synthesis results have demonstrated the feasibility of FPGAs for implementing the proposed filtering algorithms in a full parallel approach.

关键词： Pixel Convolution image processing Computer architecture Field programmable gate arrays Real time systems Hardware

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Fast and efficient iris image enhancement using logarithmic image processing

Fast and efficient iris image enhancement using logarithmic ...

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Conference on Biometric Technology for Human Identification vii

作者： Sazonova, Nadezhda Schuckers, Stephanie Clarkson Univ Dept Elect & Comp Engn Potsdam NY 13676 USA

ISBN: (纸本)9780819481313

Low quality iris images such as blurry, low resolution images with poor illumination create a challenge for iris recognition systems. Therefore, an efficient enhancement of iris images are needed in challenging environments. We propose a new iris recognition algorithm for enhancement of normalized iris images. Our algorithm is based on the logarithmic image processing (LIP) image enhancement which is used as one of the 3 stages in the enhancement process. Methods are tested on the MBGC database to compare enrolled video iris images from 124 subjects with 220 pixels resolutions to query video portal images from 110 subjects with 120 pixels resolution. Results from processing challenging MBGC iris data show significant improvement in the performance of iris recognition algorithms in terms of equal error rates compared to the original (unenhanced images) and the other fast image enhancement methods.

关键词： image enhancement Iris recognition Laser induced plasma spectroscopy Video Detection and tracking algorithms image processing Near infrared image quality image segmentation image resolution

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Digital image processing in high resolution infrared camera with use of programmable logic device

Digital image processing in high resolution infrared camera ...

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Conference on Optics and Photon for Counterterrorism and Crime Fighting VI/Optical Materials in Defence systems Technology vii

作者： Sosnowski, Tomasz Bieszczad, Grzegorz Kastek, Mariusz Madura, Henryk Mil Univ Technol Inst Optoelect Warsaw Poland

ISBN: (纸本)9780819483560

In article a digital system for high resolution infrared camera control and image processing is described. The camera is built with use of bolometric focal plane array of size 640 by 480 detectors. Single detector in array has size of 25 mu m and can detect incident radiation from the spectral range of 8/12 mu m thanks to the special filter installed in specially designed entrance window. The most important tasks of infrared image processing system are array readout and correction of detectors offset and responsivity variations. The next tasks of the system are conversion of analog voltage signals from microbolometers in array to digital form and then composition of a thermal image. Microbolometer array needs to be controlled via several signals. The signal generator for readout circuit is capable of changing various timing parameters like frame rate or integration time of the detector array. The changes in these parameters can be done via special set of memory mapped registers. The infrared data received from detector array is transferred via data bus to modules performing image processing, for example techniques for image enhancement. image processing algorithms necessary for infrared image generation are nonuniformity correction, bad pixel replacement and radiometric calibration. Optionally an additional image processing techniques can be performed like edge enhancement, dynamic range compression or object identification. The elaborated architecture of the system allowed easy change of parameters of the system and to adopt many new algorithms without significant hardware changes. Scientific work funded from science fund for years 2009-2011 as a development project.

关键词： image processing FPGA Infrared

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Improved VCA in Hyperspectral image processing

Improved VCA in Hyperspectral Image Processing

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Conference on Airborne Intelligence, Surveillance, Reconnaissance (ISR) systems and Applications vii

作者： Zhu, Xiaoming Chen, Chao Sun, Bo Zhang, Xiyu He, Jun Beijing Normal Univ Coll Informat Sci & Technol Beijing 100875 Peoples R China China Naval Armament Acad Beijing 102249 Peoples R China

ISBN: (纸本)9780819481320

In recent decades, hyperspectral images (HSI) have been widely exploited in many fields for rich information containing in them. Many algorithms have been brought out for endmember extracting, among which, VCA algorithm performs a better precision and lower complexity. However, endmembers of the same HIS extracted with traditional VCA algorithm are not always the same in different runs. After deeply analyzing, the authors have proposed an improved VCA algorithm to resolve that shortcoming. For verification, experiment and comparative study have been performed. On conclusion, the improved VCA algorithm has manifested higher efficiency and accuracy than the traditional one.

关键词： VCA algorithm Hyperspectral image Endmember extraction image processing Improved VCA Remote sensing image HSI

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Moving Target Detection for a Multi-Band Pushbroom Sensor

Moving Target Detection for a Multi-Band Pushbroom Sensor

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Conference on Airborne Intelligence, Surveillance, Reconnaissance (ISR) systems and Applications vii

作者： Cheng, Beato T. Goodrich ISR Syst Chelmsford MA 01824 USA

ISBN: (纸本)9780819481320

A pushbroom MSI sensor collects image data from the ground, parallel to the flight path, at a specific point angle. images taken at two instances of time while the scanner moves with the platform usually have a spatial offset, and need to be registered before they can be compared for any changes between the two images. Moving target detection is a special case of change detection that requires the time between frames be small enough that a moving vehicle remains in close proximity on the two frames. We propose an algorithm for the detection of moving targets in a multi-band line scanning pushbroom sensor. Ideally, change detection works best when images have the same spectral bandwidth and are perfectly registered to one another, since differencing the two images automatically removes most of the common background signal. However, this is not always the case. For example, the sensor considered here has different bandwidths for its component bands, and since it is a line-scanner it is much more challenging regarding image registration than a framed-based scanner. In this study, we will use simulated data of the same bandwidth to demonstrate the fundamental algorithm of detection and velocity calculation. The velocity calculation is that of distance divided by time;but, depending on the focal plane layout and other operating considerations and conversion between image space to physical units, this calculation is not as simple as it seems. We will also discuss our effort in applying our algorithm to real line-scan imagery, of different bandwidths in the two channels. We will show the extra image processing efforts needed to make it work, and show some of the test results.

关键词： image segmentation Sensors Detection and tracking algorithms Target detection image processing image quality Raster graphics image registration image processing algorithms and systems image sensors

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Enhancing image quality produced by IR cameras

Enhancing image quality produced by IR cameras

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Conference on Electro-Optical and Infrared systems - Technology and Applications vii

作者： Dulski, R. Powalisz, P. Kastek, M. Trzaskawka, P. Mil Univ Technol Inst Optoelect PL-00908 Warsaw Poland

ISBN: (纸本)9780819483522

images produced by IR cameras are a specific source of information. The perception and interpretation of such image greatly depends on thermal properties of observed object and surrounding scenery. In practice, the optimal settings of the camera as well as automatic temperature range control do not guarantee the displayed images is optimal from observer's point of view. The solution to this could be the methods and algorithms of digital image processing implemented in the camera. Such solution should provide intelligent, dynamic contrast control applied not only across entire image but also selectively to specific areas in order to maintain optimal visualization of observed scenery. The paper discusses problems dealing with improvement of the visibility of low-contrast objects and presents method of image enhancement. The algorithm is based on adaptive histogram equalization. The image enhancement algorithm was tested on real IR images. The algorithm significantly improves the image quality and the effectiveness of object detection for the majority of thermal images. Due to its adaptive nature it should be effective for any given thermal image. The application of such algorithm is promising alternative to more expensive opto-electronic components like improved optics and detectors.

关键词： IR imaginary image processing thermal cameras histogram equalization

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image exploitation algorithms for reconnaissance and surveillance with UAV

Image exploitation algorithms for reconnaissance and surveil...

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Conference on Airborne Intelligence, Surveillance, Reconnaissance (ISR) systems and Applications vii

作者： Heinze, N. Esswein, M. Krueger, W. Saur, G. Fraunhofer IOSB D-76131 Karlsruhe Germany

ISBN: (纸本)9780819481320

UAV have a growing importance for reconnaissance and surveillance. Due to improved technical capability also small UAVs have an endurance of about 6 hours, but less sophisticated sensors due to strong weight limitations. This puts a high strain and workload on the small teams usually deployed with such systems. To lessen the strain for photo interpreters and to improve the capability of such systems we have developed and integrated automatic image exploitation algorithms. An import aspect is the detection of moving objects to give the photo interpreter (PI) hints were such objects are. Mosaiking of imagery helps to gain better oversight over the scene. By computing stereo-mosaics from mono-ocular video-data also 3-d-models can be derived from tactical UAV-data in a further processing step. A special instrument of gaining oversight is to use multi- temporal and multifocal images of video-sensors with different resolution of the platform and to fusion them into one image. This results in a good situation awareness of the scene with a lightweight sensor-platform and a standard video link.

关键词： Video exploitation LUNA UAV Mosaiking MiSAR video stabilization super-resolution multi-resolution MTI

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Wavelet Packets for multi- and hyper-spectral imagery

Wavelet Packets for multi- and hyper-spectral imagery

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Conference on Wavelet Applications in Industrial processing vii

作者： Benedetto, J. J. Czaja, W. Ehler, M. Flake, C. Hirn, M. Univ Maryland Dept Math Norbert Wiener Ctr College Pk MD 20742 USA

ISBN: (纸本)9780819479280

State of the art dimension reduction and classification schemes in multi- and hyper-spectral imaging rely primarily on the information contained in the spectral component. To better capture the joint spatial and spectral data distribution we combine the Wavelet Packet Transform with the linear dimension reduction method of Principal Component Analysis. Each spectral band is decomposed by means of the Wavelet Packet Transform and we consider a joint entropy across all the spectral bands as a tool to exploit the spatial information. Dimension reduction is then applied to the Wavelet Packets coefficients. We present examples of this technique for hyper-spectral satellite imaging. We also investigate the role of various shrinkage techniques to model non-linearity in our approach.

关键词： Wavelets Principal component analysis Dimension reduction Satellite imaging image classification Data modeling Discrete wavelet transforms Hyperspectral systems Visualization Reconstruction algorithms

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MULTISTAGE ALGORITHM FOR LOSSLESS COMPRESSION OF MULTISPECTRAL REMOTE SENSING imageS

MULTISTAGE ALGORITHM FOR LOSSLESS COMPRESSION OF MULTISPECTR...

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ISPRS Technical Commission vii Symposium - 100 Years ISPRS - Advancing Remote Sensing Science

作者： Zamyatin, A. Tomsk Polytech Univ Tomsk 634050 Russia

A preliminary comparison between loss and lossless compression approaches for the remote sensing data processing was made. A three-stage lossless compression algorithm of multispectral remote sensing images based on wavelet transformations and intra-bands correlation is proposed and developed. It allows one to consider peculiarities of remote sensing data and to increase the compression ratio of the algorithm. The paper describes a modification of the compression algorithm aimed at considerable improvement of computational performance and based on bands trimmed enumeration and data selective use. A research of the three-stage algorithm performance was carried out in comparison with the universal compression algorithms such as WinRar, WinZip and JPEG2000 using data from various remote sensing systems showing to some extent a superiority in the compression ratio, as well as some insignificant lag of the computational performance was identified.

关键词： Multispectral Compression algorithms image Comparison

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Airborne Intelligence, Surveillance, Reconnaissance (ISR) systems and Applications vii

Airborne Intelligence, Surveillance, Reconnaissance (ISR) Sy...

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Airborne Intelligence, Surveillance, Reconnaissance (ISR) systems and Applications vii

ISBN: (纸本)9780819481320

The proceedings contain 33 papers. The topics discussed include: 3D imaging without range information;lock-in imaging with synchronous digital mirror demodulation;chromotomographic imager field demonstration results;multisensor airborne imagery collection and processing onboard small unmanned systems;use of compact synthetic aperture radar systems to assist with device detection and discrimination;compact survey and inspection day/night image sensor suite for small unmanned aircraft systems (EyePod);a simulation of wide area surveillance (WAS) systems and algorithm for digital elevation model (DEM) extraction;opto-mechanical review of a light weight compact visible zoom camera;robust component-based car detection and counting in aerial imagery based on the mean-shift color space clustering;advanced vehicle tracking in persistent aerial surveillance video;and directed area search using socio-biological vision algorithms and cognitive Bayesian reasoning.

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