This report presents the results of the development of the image detector based on FPZS-10L for registering spectral information with time resolution equal to 300 mcsec. The presence of the lag signal can be a restric...
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ISBN:
(纸本)0819423750
This report presents the results of the development of the image detector based on FPZS-10L for registering spectral information with time resolution equal to 300 mcsec. The presence of the lag signal can be a restriction CCPD-type sensors in spectroscopy applications. We suggest several methods to decrease the influence of the lag charge.
A half-pel precision single chip motion estimator is described dedicatedly for MPEG2 MP@HL moving pictures. Adopting a two-level hierarchical searching algorithm and the maximum possible reuse mechanism of reference p...
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ISBN:
(纸本)0780336798;0780336801
A half-pel precision single chip motion estimator is described dedicatedly for MPEG2 MP@HL moving pictures. Adopting a two-level hierarchical searching algorithm and the maximum possible reuse mechanism of reference pixels, MP@HL motion estimation is successfully facilitated. The broadcasting type PE array is used both for integer-pel precision vector and half-pel precision vector search processes. The proposed motion estimator is integrated in a 0.6 mu m triple-metal CMOS chip, which contains 1,450K transistors on a 12.7 x 13.7 mm(2) die. The input clock rate can be attained up to 133MHz, which enables the real time motion estimation for MPEG2 MP@HL.
The resolution achievable in imaging objects in space from ground-based telescopes is limited by atmospheric turbulence. If enough naturally occurring illumination is available then speckle imaging techniques can be u...
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ISBN:
(纸本)0819422355
The resolution achievable in imaging objects in space from ground-based telescopes is limited by atmospheric turbulence. If enough naturally occurring illumination is available then speckle imaging techniques can be used tcr recover the original object phase using short exposure images. Analogous techniques exist for recovering the phase of a laser illuminated object from measurements of either the incoherent Fourier modulus or coherent Fourier modulus. In both cases many exposures are required to accumulate sufficient statistics. In the case of coherent, illumination lack of a-priori information concerning the object makes image reconstruction very difficult.(1) In this paper we discuss one approach to circumventing these difficulties, in which multiple modulated laser beams art broadcast off of an object and the relative phase between the beams is measured at a simple light-bucket receiver The original object phase is recovered from the phase differences using an iterative reconstructor.
A modular image capture system with close integration to CCD cameras has been developed. The aim is to produce a system capable of integrating CCD sensor, image capture and imageprocessing into a single compact unit ...
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ISBN:
(纸本)0819423548
A modular image capture system with close integration to CCD cameras has been developed. The aim is to produce a system capable of integrating CCD sensor, image capture and imageprocessing into a single compact unit This close integration provides a direct mapping between CCD pixels and digital image pixels. The system has been interfaced to a digital signal processor board for the development and control of imageprocessing tasks. These have included characterisation and enhancement of noisy images from an intensified camera and measurement to subpixel resolutions. A highly compact form of the image capture system is in an advanced stage of development. This consists of a single FPGA device and a single VRAM providing a two chip image capturing system capable of being integrated into a CCD camera. A miniature compact PC has been developed using a novel modular interconnection technique, providing a processing unit in a three dimensional format highly suited to integration into a CCD camera unit. Work is under way to interface the compact capture system to the PC using this interconnection technique, combining CCD sensor, image capture and imageprocessing into a single compact unit.
Conventional metrics used to quantify signals in noise/hearing research are primarily derived from time- averaged energy and spectral analyses. Such metrics, while appropriate for Gaussian signals, are of limited valu...
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ISBN:
(纸本)0819422134
Conventional metrics used to quantify signals in noise/hearing research are primarily derived from time- averaged energy and spectral analyses. Such metrics, while appropriate for Gaussian signals, are of limited value in more complex sound environments. Many of the sounds encountered in industrial/military environments have non- Gaussian and nonstationary distributed waveforms. These signals may have the same energy and spectra as those of a continuous Gaussian signal, yet they can produce very different effects on the auditory system. This result has led to efforts to develop additional metrics, incorporating the temporal characteristics of a signal, that could be useful in evaluating hazardous acoustic environments. Previous research suggests that frequency domain kurtosis (FDK) may be useful in such an application. This paper shows that good estimates of FDK can be obtained from an application of the wavelet transform. The wavelet transform, which has features in common with the cochlear micromechanical analysis of a signal, will reflect the temporal variations of the frequency components in a signal. A signal is decomposed by the wavelet transform on a logarithmic scale, and then the fourth-order kurtosis estimates are computed across the different octave bands from the wavelet transform results. Complexsignals whose effects on hearing are known, and which are similar to realistic industrial noises, are used as model signals from which the FDK metric is extracted using the wavelet transform. Animal model experiments have shown that FDK is highly correlated with both the frequency specificity of hearing loss and the severity of trauma. Use of the wavelet transform to obtain an FDK metric lends itself to incorporation into digital analysis systems that may be useful in the assessment of complex noises for hearing conservation purposes.
Current hyperspectral imaging cameras are typically limited in throughput either by a slit or other optical geometries requiring small solid angle instantaneous fields of view. The High Etendue Imaging Fourier Transfo...
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ISBN:
(纸本)081942207X
Current hyperspectral imaging cameras are typically limited in throughput either by a slit or other optical geometries requiring small solid angle instantaneous fields of view. The High Etendue Imaging Fourier Transform Spectrometer (HEIFTS) optical design is a new optical geometry for the production of spectral autocorrelation fringe modulation over an image plane defined by a large CCD array. A throughput advantage approaching several hundred appears realizable, with an accompanying increase in signal to noise proportional to ''root N.'' The simple optical implementation of this design will be discussed along with initial experimental results.
It is considered the sensor which can measure a surface profile shape and a waviness as the space function. The optical head registering the local surface titles is applied in the sensor. The sensor is the adaptive ac...
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ISBN:
(纸本)0819420883
It is considered the sensor which can measure a surface profile shape and a waviness as the space function. The optical head registering the local surface titles is applied in the sensor. The sensor is the adaptive action system. The device is classified as a coordinate-measurement tool.
We present our results to date on the application of super-resolution techniques to passive millimetre-wave imagery and discuss the merits of both linear and non-linear methods giving an indication of the improvement ...
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ISBN:
(纸本)0819422355
We present our results to date on the application of super-resolution techniques to passive millimetre-wave imagery and discuss the merits of both linear and non-linear methods giving an indication of the improvement which can be obtained. Passive millimetre-wave imagery is potentially useful where poor weather visibility is required. It's spatial resolution, however, is severely restricted due to the diffraction limit of the optics, Super-resolution methods may be used to increase this spatial resolution but often at the expense of processing time. Linear methods may be implemented in real time whereas non-linear methods which are required to restore images with lost spatial frequencies are more time consuming. There is clearly a trade-off between resolution and processing time. In order to make any useful comparisons it is necessary to quantify any improvements, we do this by investigating the resolution and spatial frequency content of the images. We have applied our super-resolution algorithms to conventional images as well as millimetric bar pattern images which were acquired int 94 and 140 GHz (thus giving some round truth when analysing the processed data). These methods give excellent results, providing a significant quantifiable increase in spatial resolution with only a small reduction in the final signal to noise ratio. Comparisons will be made between the results obtained with various super-resolution algorithms.
HYDICE, the HYperspectral Digital imagery Collection Experiment, is an airborne hyperspectral imaging sensor operating in a pushbroom mode. HYDICE collects data simultaneously in 210 wavelength bands from 0.4 to 2.5 m...
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ISBN:
(纸本)0819422096
HYDICE, the HYperspectral Digital imagery Collection Experiment, is an airborne hyperspectral imaging sensor operating in a pushbroom mode. HYDICE collects data simultaneously in 210 wavelength bands from 0.4 to 2.5 micrometers using a prism as the dispersing element. While the overall quality of HYDICE data is excellent, certain data stream anomalies have been identified, among which are a periodic offset in DN level related to the operation of the system cryocooler and a quasi-random variation in the spectral alignment between the dispersed image and the focal plane. In this paper we report on an investigation into the above two effects and the development of algorithms and software to correct or minimize their impact in a production data processing system. We find the periodic variation to have unexpected time and band-dependent characteristics which argues against the possibility of correction in post-processing, but to be relatively insensitive to signal and consequently of low impact on the operation of the system. We investigate spectral jitter through an algorithm which performs a least squares fit to several atmospheric spectral features to characterize both the time-dependent jitter motion and systematic spectral mis-registration. This method is also implemented to correct the anomalies in the production data stream. A comprehensive set of hyperspectral sensor calibration and correction algorithms is also presented.
In this paper, we attempt to design some new wavelet functions that can achieve a significant saving in terms of computation time when the corresponding wavelet decomposition algorithms are being implemented. The perf...
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In this paper, we attempt to design some new wavelet functions that can achieve a significant saving in terms of computation time when the corresponding wavelet decomposition algorithms are being implemented. The performance of these wavelets is evaluated rigorously and comparisons are also made with the Daubechies wavelets.
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