The DEDIP (developmental environment for digital imageprocessing) system is a simple environment for the development of digital imageprocessingapplications. It consists of two user interface levels. The low level i...
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ISBN:
(纸本)0879426381
The DEDIP (developmental environment for digital imageprocessing) system is a simple environment for the development of digital imageprocessingapplications. It consists of two user interface levels. The low level is compiled software library of digital imageprocessing and system management functions. The high level is a command line interpreter with a set of digital imageprocessing and file management tools. A graphical user interface (GUI) has been developed to increase the user-friendliness of DEDIP at the high level. The GUI is based on the DEDIP functions and the x-windows system. The user has access to all levels and can develop, test, and implement in software digital imageprocessingapplications easily. Structured software design techniques of modularity and data encapsulation have been applied in the development of DEDIP.
Blind deconvolution is a typical solution to unknown LSI system inversion problems. When only the output is available, second order statistics are not sufficient to retrieve the phase of the LSI system, so that some f...
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ISBN:
(纸本)0819406937
Blind deconvolution is a typical solution to unknown LSI system inversion problems. When only the output is available, second order statistics are not sufficient to retrieve the phase of the LSI system, so that some form of higher-order analysis has to be employed. In this work, a general iterative solution based on a Bayesian approach is illustrated, and some cases both for mono and bidimensional applications are discussed. The method implies the use of non second-order statistics (rather than higher-order statistics), tuned to specific a priori statistical models. The Bayesian approach yields specific solutions corresponding to known techniques, such as MED deconvolution employed in seismic processing, and more sophisticated procedures for non-independent identically distributed (for instance Markovian) inputs.
This conference proceedings contains 22 papers. The topics included are issues in signal and image systems development;evaluation and modeling problems in algorithms, sensors, and systems;automatic target recognition ...
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ISBN:
(纸本)0819405922
This conference proceedings contains 22 papers. The topics included are issues in signal and image systems development;evaluation and modeling problems in algorithms, sensors, and systems;automatic target recognition evaluation, testing, and tools development;and signal and imageprocessing systems for defense and space applications.
Many types of high-resolution TV cameras and imageprocessing systems can be used in experimental mechanics. We discuss some high-resolution video processing systems and applications to fringe analysis. As one of the ...
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Proceedings incorporates 74 papers that are arranged into two main areas dealing with: flight control technology and digital control technology. These two areas cover the following topics: VLSI/components/packaging, s...
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ISBN:
(纸本)078030084X
Proceedings incorporates 74 papers that are arranged into two main areas dealing with: flight control technology and digital control technology. These two areas cover the following topics: VLSI/components/packaging, signalprocessing, airborne computers, data transmission, advanced avionics architecture, optical applications, information control and display, data storage, airborne imageprocessing, airborne radar and fire control, navigation, weapon guidance and interface, Kalman filtering, power generation and control as well as command, control and communications.
A trainable VLSI neuroprocessor for adaptive vector quantization based upon the frequency-sensitive competitive learning algorithm has been developed for high-speed high-ratio image compression applications. Simulatio...
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The DEDIP (developmental environment for digital imageprocessing) system is a simple environment for the development of digital imageprocessingapplications. It consists of two user interface levels. The low level i...
详细信息
The DEDIP (developmental environment for digital imageprocessing) system is a simple environment for the development of digital imageprocessingapplications. It consists of two user interface levels. The low level is compiled software library of digital imageprocessing and system management functions. The high level is a command line interpreter with a set of digital imageprocessing and file management tools. A graphical user interface (GUI) has been developed to increase the user-friendliness of DEDIP at the high level. The GUI is based on the DEDIP functions and the x-window systems. The user has access to all levels and can develop, test, and implement in software digital imageprocessingapplications easily. Structured software design techniques of modularity and data encapsulation have been applied in the development of DEDIP.< >
The authors outline the SPECTRE coding algorithm which achieves the required data compression whilst maintaining broadcast quality. It is based on the hybrid discrete cosine transform (DCT) coding scheme, with motion ...
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The authors outline the SPECTRE coding algorithm which achieves the required data compression whilst maintaining broadcast quality. It is based on the hybrid discrete cosine transform (DCT) coding scheme, with motion compensated prediction. It also uses an advanced interpolative prediction technique, employing information from both previous and next frames. The algorithm has been optimised in simulations to operate at 12 Mbit/s, but in principle other bit rates are possible for different applications. Furthermore, it can dynamically adjust to changes in picture content, allocating any spare capacity in the video stream during periods of low picture activity to additional data services.< >
The classic diffraction limit of resolution in optical microscopy (~l/2) can be overcome by detecting the diffracted field of a submicrometre-size probe in its near field. The present stage of this so-called scanning ...
The classic diffraction limit of resolution in optical microscopy (~l/2) can be overcome by detecting the diffracted field of a submicrometre-size probe in its near field. The present stage of this so-called scanning near-field optical microscopy (SNOM) is reviewed. An evanescent-field optical microscope (EFOM) is presented in which the near-field regime is provided by the exponentially decaying evanescent field caused by total internal reflection at a refractive-index transition. A sample placed in this field causes a spatial variation of the evanescent field which is characteristic for the dielectric and topographic properties of the sample. The evanescent field is frustrated by a dielectric probe and thus converted into a radiative field. In our case the probe consists either of an etched optical fibre or of a highly sharpened diamond tip. The probe is scanned over the sample surface with nanometre precision using a piezo-electric positioner. The distance between probe and sample is controlled by a feedback on the detected optical signal. The resolution of the microscope is determined by both the gradient of the evanescent field and the sharpness of the tip. Details of the experimental set-up are discussed. The coupling of the evanescent field to the submicrometre probe as a function of probe-sample distance, angle of incidence and polarization has been characterized quantitatively. The observed coupling is generally in agreement with presented theoretical calculations. Microscopy has been performed on a regular latex sphere structure, which clearly demonstrates the capacity of the evanescent-field optical microscope for nanometre-scale optical imaging. Resolution is typically 100 nm laterally and 10 nm vertically. The technique is promising for biological applications, especially if combined with optical spectroscopy.
Conventional scale dependent wavelet analysis represents a signal or iniage as a superposition of translated differently scaled versions of the same basis function. When the basis function for time series analysis is ...
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ISBN:
(纸本)0819404098
Conventional scale dependent wavelet analysis represents a signal or iniage as a superposition of translated differently scaled versions of the same basis function. When the basis function for time series analysis is a chirp with linear frequency modulation a scale dependent wavelet representation is equivalent to a sequence of projections of the signal timefrequency distribution along differently rotated lines and reconstruction of the signal from its chirped wavelet representation is analogous to tomographic reconstruction from time frequency projections. The same analogy applies in two dimensions if scaled basis functions are replaced by rotated ones such that an image is represented by a superposition of translated differently rotated versions of the same basis function. For rotation dependent wavelet analysis basis functions consisting of very long line segments yield a tomographic representation while shorter line segments yield a line segment image representation as in the primate visual cortex. applications include binocular robot vision and synthetic aperture radar.
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