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Proc SOUTHEASTCON Reg 3 Conf

作者： Boland iii, J.S. Peters, E.G. Pinson, Lewis J. Malcolm, W.W.

This paper considers the difficult problem of target hand-off between two imaging devices sensitive in different frequency spectra. The types of imaging systems considered are a high resolution day TV pointing and tracking system for target acquisition and a low resolution Infra-Red imaging Seeker for the missile. Automatic correlation of two digital arrays obtained from non-compatible imaging systems is considered. Several preprocessing algorithms are presented which transform the input video signals to a compatible format for input to a binary correlation system. The results of implementing the preprocessing algorithms in a correlation system simulation are given and explained. A preprocessing algorithm using edge detection is chosen and the advantages and disadvantages are listed.

关键词： Image processing

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Study on the image processing algorithms for optical readout based un-cooled MEMS IR imager systems

Study on the image processing algorithms for optical readout...

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Conference on MEMS/MOEMS Technologies and Applications iii

作者： Dong, Li-quan Liu, Xiao-hua Zhao, Yue-jin Liu, Ming Beijing Inst Technol Sch Informat Sci & Technol Dept Opt Engn Beijing 100081 Peoples R China

ISBN: (纸本)9780819470119

MEMS thermal transducers offer a promising technological platform for un-cooled IR imaging. We report on the fabrication and performance of an optical readout based MEMS IR FPA based on the bimaterial microcantilever. For the IR images of objects obtained by these FPAs, processed by the fast Curvelet transform denoising and inpainting algorithm, the image quality is improved obviously. Great compute and analysis have been realized by using the discussed algorithm to the simulated data. The experimental results demonstrate, better RMSE and highest Peak Signal-to-Noise Ratio (PSNR) compared with traditional methods can be obtained. At last we discuss the factors that determine the ultimate performance of the FPA. And we indicated that one of the unique advantages of the present approach is the scalability to larger imaging arrays.

关键词： curvelet transform MEMS un-cooled IR microcantilever optical readout

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REAL-TIME IMAGE-processing FOR HOT BAR ENDS PROFILE 3

REAL-TIME IMAGE-PROCESSING FOR HOT BAR ENDS PROFILE

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Conference on Visual Information processing iii

作者： LI, XJ TANG, LJ LI, Z HUAZHONG UNIV SCI & TECHNOL INST MEASUREMENT TECHNOL & INSTRUMENTSWUHAN 430074PEOPLES R CHINA

ISBN: (纸本)081941543X

The first and most important link of the crop shear optimization system, profile tracking and recognition (PTR) for hot bar ends, is introduced in this paper. Several features in system architecture are described. In the design of software, several ways are proposed to speed up the processing. A unique set of algorithms for real-time image data processing in C language and assembler language is used. Different thresholding strategy in different position are useful for the system to be used in a hostile environment and with scales on the bar. Experimental results show that the system has high reliability and good anti-interference performances.

关键词： Image processing Head Data processing Cameras CCD cameras Edge detection imaging systems Real time image processing Detection and tracking algorithms Reliability

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Contrast enhancement for low-light image enhancement: A survey

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IEIE Transactions on Smart processing and Computing 2018年第1期7卷 36-48页

作者： Park, Seonhee Kim, Kiyeon Yu, Soohwan Paik, Joonki Image Processing and Intelligent Systems Laboratory Graduate School of Advanced Imaging Science Multimedia and Film Chung-Ang University Seoul06974 Korea Republic of Department of Integrative Engineering Chung-Ang University Seoul06974 Korea Republic of

In this paper, various contrast and low-light image enhancement methods are described and classified into three categories: I) histogram-based, ii) transmission map-based, and iii) retinexbased. The performance of the image enhancement algorithms is evaluated by comparing the resulting images using low-contrast and low-light images acquired under different illumination conditions. Various image enhancement algorithms are analyzed for both performance and efficiency. The described image enhancement algorithms can be applied to various visual surveillance or video analytics applications with low-light, low-contrast video input. © 2018 The Institute of Electronics and Information Engineers.

关键词： Image enhancement

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PERFORMANCE ESTIMATES FOR MAXIMUM-LIKELIHOOD PATTERN-RECOGNITION algorithms WITH DISTORTION-COMPENSATION FILTERS

PERFORMANCE ESTIMATES FOR MAXIMUM-LIKELIHOOD PATTERN-RECOGNI...

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3RD CONF ON HYBRID IMAGE AND SIGNAL processing

作者： HOLMES, R Rockwell International Corp./Rocketdyne Div. (United States)

ISBN: (纸本)0819408670

The probability of correct object recognition is calculated assuming a maximum-likelihood algorithm, accounting for the modulation transfer function (MTF) of the atmosphere-imaging- system combination, and for the presence of clutter. The MTF is determined by the spatial bandwidth of the adaptive distortion-compensation filter. The algorithm recognizes an object based on minimum distance in feature space. Each feature has a corresponding scale size, with a corresponding blur from the MTF. It is demonstrated that the Vander Lugt filter is a maximum-likelihood estimator for a broad range of clutter and distortion statistics. Specific probability distributions are assumed for the compensated distortions (log normal), and the clutter strength (beta and Gaussian). The results presented assume an informationless distribution of targets in feature space, and show the variation of performance with the number of features, the quality of the compensation filter, and the strength of clutter.

关键词： Distortion Detection and tracking algorithms Modulation transfer functions Filtering (signal processing) Image processing Signal processing Spatial frequencies imaging systems Object recognition Pattern recognition

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Sampling artifacts, system design, and image processing

Sampling artifacts, system design, and image processing

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Unconventional imaging iii

作者： Holst, Gerald C. 2932 Cove Trail Winter Park FL 32789-1159

ISBN: (纸本)9780819468604

imaging system resolution depends upon Fλ/d where F is the focal ratio, X is the wavelength, and d is the detector size. Assuming a 100% fill factor, no aliasing occurs when Fλ/d > 2. However, sampling artifacts are quite acceptable and most systems have Fλ/d < 1. Sampling artifacts are most noticeable with periodic targets (bar patterns, picket fences, plowed fields, etc). Since real targets are aperiodic, the sampling theorem (frequency domain analysis) does not directly provide guidance in algorithm development. Sampling creates an edge location ambiguity of one pixel. Phasing effects and edge ambiguity are often overlooked when designing image processing algorithms.

关键词： imaging systems

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Motion and detail adaptive denoising of video

Motion and detail adaptive denoising of video

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Conference on Image processing - algorithms and systems iii

作者： Zlokolica, V Philips, W Univ Ghent Dept Telecommun & Informat Proc IPI B-9000 Ghent Belgium

ISBN: (纸本)0819452017

Non-linear techniques for denoising images and video are known to be superior to linear ones. In addition video denoising using spatio-temporal information is considered to be more efficient compared with the use of just temporal information in the presence of fast motion and low noise. Earlier, we introduced a 3-D extension of the K-nearest neighbor filter and have investigated its properties. In this paper we propose a new, motion- and detail-adaptive filter, which solves some of the potential drawbacks of the non-adaptive version: motion caused artifacts and the loss of fine details and texture. We also introduce a novel noise level estimation technique for automatic tuning of the noise-level dependent parameters. The results show that the adaptive K-nearest neighbor filter outperforms the none-adaptive one, as well as some other state-of-the-art spatio-temporal filters such as the 3D a-trimmed mean and the state-of-the-art rational filter by Ramponi from both a PSNR and visual quality point of view.

关键词： Digital filtering Denoising Motion detection Image filtering Video 3D image processing Sensors Visualization Image processing Video processing

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Median-based robust algorithms for tracing neurons from noisy confocal microscope images

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IEEE TRANSACTIONS ON INFORMATION TECHNOLOGY IN BIOMEDICINE 2003年第4期7卷 302-317页

作者： Al-Kofahi, KA Can, A Lasek, S Szarowski, DH Dowell-Mesfin, N Shain, W Turner, JT Roysam, B Rensselaer Polytech Inst ECSE Dept Troy NY 12180 USA New York State Dept Hlth Wadsworth Ctr Albany NY 12201 USA Rensselaer Polytech Inst Dept Biomed Engn Troy NY 12180 USA

This paper presents a method to exploit rank statistics to improve fully automatic tracing of neurons from noisy digital confocal microscope images. Previously proposed exploratory tracing (vectorization) algorithms work by recursively following the neuronal topology, guided by responses of multiple directional correlation kernels. These algorithms were found to fail when the data was of lower quality (noisier, less contrast, weak signal, or more discontinuous structures). This type of data is commonly encountered in the study of neuronal growth on microfabricated surfaces. We show that by partitioning the correlation kernels in the tracing algorithm into multiple subkernels, and using the median of their responses as the guiding criterion improves the tracing precision from 41% to 89% for low-quality data, with a 5% improvement in recall. Improved handling was observed for artifacts such as discontinuities and/or hollowness of structures. The new algorithms require slightly higher amounts of computation, but are still acceptably fast, typically consuming less than 2 seconds on a personal computer (Pentium iii, 500 MHz, 128 MB). They produce labeling for all somas present in the field, and a graph-theoretic representation of all dendritic/axonal structures that can be edited. Topological and size measurements such as area, length, and tortuosity are derived readily. The efficiency, accuracy, and fully-automated nature of the proposed method makes it attractive for large-scale applications such as high-throughput assays in the pharmaceutical industry, and study of neuron growth on nano/micro-fabricated structures. A careful quantitative validation of the proposed algorithms is provided against manually derived tracing, using a performance measure that combines the precision and recall metrics. Index Terms-Biomedical image processing, image analysis, image edge analysis, image line pattern analysis, image processing, image segmentation, median filters.

关键词： biomedical image processing image analysis image edge analysis image line pattern analysis image processing image segmentation median filters

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The impact of striping artifacts on compression

The impact of striping artifacts on compression

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Conference on Satellite Data Compression, Communications, and Archiving iii

作者： Grossberg, Michael Gottipati, Srikanth Gladkova, Irina CCNY NOAA CREST New York NY 10031 USA

ISBN: (纸本)9780819468314

yyDespite tremendous efforts to avoid them, stripes are a re-occurring problem for many remote imaging sensors. Much work has focused on suppressing or eliminating them in order to recover accurate observed radiances. Beyond the obvious need to eliminate stripes to obtain accurate scientific measurements, stripes can also significantly impact the performance of compression algorithms. Many compression algorithms are based on linear representations of image space or assume the data to be relatively smooth. In contrast stripes produce nonlinearities in the data as well as sharp discontinuities which make it seem necessary to describe the images with many parameters. Yet the sources and nature of the stripes are often not well known, they could come from specific irregularities with the sensors. If the a priori construction of the sensor is accounted for, and the stripe statistically modeled. it is possible to transmit the stripe parameters separately along with de-striped images. The de-striped images have image statistics whose assumptions are much closer to those for which standard compression algorithms are optimized. As an example, we show this yields a significant boost in the performance of these algorithms when applied to the de-striped MODIS images.

关键词： Sensors Image compression Image sensors MODIS Image processing Calibration Long wavelength infrared Satellites imaging systems Satellite imaging

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High dynamic range imaging for digital still camera

High dynamic range Imaging for digital still camera

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Conference on Sensors and Camera systems for Scientific, Industrial, and Digital Photography Applications iii

作者： Battiato, S Castorina, A Mancuso, M STMicroelectronics (Italy)

ISBN: (纸本)081944409X

The paper presents a collection of methods and algorithms able to deal with high dynamic range of real pictures acquired by digital engines (e.g. CCD/CMOS cameras). Accurate image acquisition can be not well suited under difficult light conditions. A few techniques that overcome the usual 8 bit-depth representations by using differently exposed pictures and recovering the original radiance values are reported. This allows capturing both low and highlight details, fusing the various pictures into a single map, thus providing a more faithful description of what the real world scene was. However in order to be viewed on a common computer monitor the map needs to be re-quantized while preserving visibility of details. The main problem comes from the fact that usually the contrast of the radiance values is far greater than that of the display device. Various related techniques are reviewed and discussed.

关键词： Cameras Digital cameras High dynamic range imaging Sensors Image sensors Image restoration Image compression Image processing imaging systems CCD cameras

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