In this work we propose a new wavelet transform based speckle denoising algorithm for SAR images. The algorithm will explicitly account for the signal dependent nature of the noise by studying the variances of detail ...
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ISBN:
(纸本)0819441856
In this work we propose a new wavelet transform based speckle denoising algorithm for SAR images. The algorithm will explicitly account for the signal dependent nature of the noise by studying the variances of detail wavelet coefficients. The algorithm will use the analysis of variance ANOVA technique to check if variances are due to means belonging to the same population or not. If neighboring variances indicate belonging to the same population, then it's a smooth region and coefficient should be smoothed. If neighboring variances indicate the presence of two different populations, then coefficient is due to image feature and should be preserved. This approach will provide the flexibility of adjusting to region intensity level and thus no need for the fixed threshold concept. The algorithm will take advantage of the fact that wavelet transform creates three detail sub-images and a coarse sub-image. Each detail sub-image is associated with frequency contents due to certain edge location and orientation. The algorithm will also consider using cross-information from all three-detail sub-images to decide whether coefficients are due to a feature and thus should be preserved, or they are due to noise and should be smoothed. Simulations will show that our algorithm will provide better performance in terms of PSNR, ENL, and visually than currently existing techniques.
We describe streaming 3D video on the Argus sensor space. Argus is a Beowulf-style distributed computer with 64 processors and 64 video camera/capture pairs. Argus is a test-bed for comparing sensor space modeling and...
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A representation form of prior information about visually accepted images is proposed in this paper on purpose to create of images processingalgorithms based on maximum a posteriori principle. The image model was pre...
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ISBN:
(纸本)9665530798
A representation form of prior information about visually accepted images is proposed in this paper on purpose to create of images processingalgorithms based on maximum a posteriori principle. The image model was presented in the Student's distribution form of decomposition coefficients of the image in Wavelet functions basis. The change boundaries of proposed model parameters were defined for visually accepted images. An adequacy of the model was verified for real-world images. The expediency and advantages of proposed model were shown at the creation of image denoising algorithm.
A challenging task facing the designers for the next generation of archival storage system is to provide storage capacities several orders of magnitude larger than existing systems while maintaining current data acces...
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ISBN:
(纸本)081944149X
A challenging task facing the designers for the next generation of archival storage system is to provide storage capacities several orders of magnitude larger than existing systems while maintaining current data access times. To meet this challenge, we have developed a smart optoelectronic database filter suitable for large capacity relational database systems that use page-oriented optical storage devices. The photonic VLSI device technology based database filter monolithically integrates optical detectors, photoreceiver circuits, data manipulation logic, and filter control circuitry onto a single CMOS chip. This paper presents the design and system level analysis of the database filter system. Simulation data suggested that a 32x32-bit filter fabricated in a 1.5 mum CMOS process could have an optical page read rate of 87 Mpages/s and support 123 Mrecords/s transfer rate to a host computer. Queuing theory is used to show that even with the limitation of finite queue capacity, a database filter chip could be controlled to work at near optimal performance where database search time is limited by the data transfer rate going into the host computer. Since only valid search data is passed through to the host computer, the introduction of a database filter can dramatically reduce database search time.
An optical transducer based on the light modulated transmission properties of bacteriorhodopsin (bR) film is described in this paper. The bR protein molecules undergo a complex photocycle when absorbing light energy t...
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ISBN:
(纸本)0819442925
An optical transducer based on the light modulated transmission properties of bacteriorhodopsin (bR) film is described in this paper. The bR protein molecules undergo a complex photocycle when absorbing light energy that is characterized by several measurable states. The most relevant states in the photocycle for this application are the initial B state (lambda(max) = 570 nm) and the longest lived M intermediate state (lambda(max) = 410 nm). If a yellow light source with a wavelength of approximately 570 nm and a second deep blue source at 410 nm illuminate the same region of the thin bR film, the two beams will mutually suppress the optical transmission properties of the thin film and reduce the intensity of the light output. The suppression-modulated transmission mechanism of the bR polymeric film is, therefore, controlled by the intensity and wavelength of the two light sources. Based on this simple mechanism, a number of different protein-based optical devices have been proposed in the literature for optical signal and informationprocessing. The focus of this research is to exploit the light transmission properties of the bR. film to develop efficient optical transducers that can be easily interfaced with micro-electro-mechanical systems (MEMs) for mechatronic applications. The proposed transducer design is activated by an external light source and free from electrical noise. Illustrations of how thin bR film can be used for the modulation of light intensity, optical switches, and logic gates are presented.
The development of efficient semi-automatic systems for heterogeneous information fusion is actually a great challenge. The efficiency can be represented as the system openness, the system evolution capabilities and t...
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ISBN:
(纸本)0819440809
The development of efficient semi-automatic systems for heterogeneous information fusion is actually a great challenge. The efficiency can be represented as the system openness, the system evolution capabilities and the system performance. Multi-agent architecture can be designed in order to respect the first two efficiency constraints. As for third constraint, which is the performance, the key point is the interaction between each information component of the system. The context of this study is the development of a semi-automatic information fusion system for cartographic features interpretation. Combining heterogeneous sources of information such as expert rules and strategies, domain models, image processing tools, interpolation techniques, etc. completes the system development task The information modeling and fusion is performed within the evidential theory concepts. The purpose of this article is to propose a learning approach for interaction-oriented multi-agent systems. The optimization of the interaction weight is tackled with genetic algorithms technique because it provides solution for the whole set of weights at once. In this paper, the context of the multi-agent system development is presented first The need for such system and its parameters is explained. A brief review of learning techniques leads to genetic algorithms as a choice for the learning of the developed multi-agent system. After a brief introduction to genetic algorithms, these are adapted to the particularity of this study. Two approaches are designed to measure the system's fitness based on either binary or fuzzy decisions. The conclusion presents suggestions for further research in the area of multi-agent system-learning with genetic algorithms.
The artificial retina chip (AR) is a versatile CMOS image sensor, whose functions are not only normal image acquisition but also on-chip image processing. Such features can accelerate algorithms of image processing an...
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ISBN:
(纸本)0819439843
The artificial retina chip (AR) is a versatile CMOS image sensor, whose functions are not only normal image acquisition but also on-chip image processing. Such features can accelerate algorithms of image processing and the controls of proper image. We have developed the low-cost and compact vehicle detection system using the AR chips. The system is composed of a processing module (DSP) and an AR Camera module. The AR Camera module has dual artificial retina chips to cover the wide dynamic range of the outdoor brightness environment. The ND filter is coated on the lens of one of the chips, each AR chip covers different range of the brightness. The control algorithm of image acquisition is designed to select an adequate chip based on the image quality. The images of the selected chip are processed by on-chip functions for pre-processing and they are transferred to the processing module. Finally the processing module judges the existence of vehicles and detects several kinds of attributive information of the detected vehicle such as moving direction. In our paper, we describe details of the system and the algorithm and we show several result data through field experiments under the real road environment.
The paper presents results on research of tunable acousto-optic filters operating in ultraviolet, visible and infrared regions of spectrum. High spectral and spatial resolution, perfect diffraction efficiency and low ...
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ISBN:
(纸本)0819440434
The paper presents results on research of tunable acousto-optic filters operating in ultraviolet, visible and infrared regions of spectrum. High spectral and spatial resolution, perfect diffraction efficiency and low driving power provide application of die filters in optics and spectroscopy as well as in opticalinformationprocessing and laser technology. Precise and efficient electronic control of laser light intensity and fast electronic tuning of lasing wavelength was executed by means of collinear acousto-optic devices. Application of the collinear filters as selectors of arbitrary polarized optical signals in modem WDM waveguide communication lines has also demonstrated high capabilities of the acousto-optic instruments. Experiments with the acousto-optic devices on base of the wide-angular geometry of interaction confirmed the unique possibility to regulate spatial structure of convergent laser beams and optical rays forming images.
A non-invasive interface to track eye position using digital image processing techniques is under development. information about head and eye position is obtained from digital images. The objective is to develop an in...
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A non-invasive interface to track eye position using digital image processing techniques is under development. information about head and eye position is obtained from digital images. The objective is to develop an interface to detect eye position based only on digital image processingalgorithms, free of electrodes or other electronic devices. In this paper we propose a method for eye tracking built into five stages. These include, coarse and fine face detection, finding the eyes region of maximum probability, map of the pupil/iris location and pupil/iris detection. Using frontal face images obtained from a database, the probability maps for the eyes region were built. Only gray levels are considered for this computation (8 bits). The algorithms for face and eye detection were assessed on 102 images from the Purdue database and on 897 images from a video sequence. The face detection algorithm reached a 99% and 100% correct detection rate on the databases respectively. On the same databases the pupil/iris detection algorithm reached 85.3% and 98.4% of correct detection respectively.
The availability of new digital detector technologies and high speed computer processing has led to the development of CAD (computer-aided diagnostic) tools that assist radiologists in detecting and characterizing mam...
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ISBN:
(纸本)0819440094
The availability of new digital detector technologies and high speed computer processing has led to the development of CAD (computer-aided diagnostic) tools that assist radiologists in detecting and characterizing mammographic lesions. To meet the challenge of developing and implementing algorithms that are computationally intensive, it is desirable to develop reusable components that can execute in a distributed environment. It is well know that the Common Object Request Broker Architecture (CORBA) provides an open solution in distributed computing. We have implemented a hybrid component model consisting of a CORBA server and a Contract Net Protocol (CNP) algorithm for distributing tasks to multiple computers for enhanced processing. Support classes were developed to wrap algorithms developed in C to operate within the distributed framework. CORBA provides communication between agents on different computers and computer platforms and the CNP algorithm is used to select the "optimal" computer for performing a task. We have evaluated this framework with CAD processing applied to digitized mammograms by transparently scheduling and distributing multiple tasks on three server computers. We achieved a significant reduction in processing times compared to processing on a single computer.
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