Based on the multiplicity and redundancy of holographic recording and reconstruction, the paper presents a new kind of multi-channel image-plane holography, which used the method of multiple reference beams in one exp...
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ISBN:
(纸本)0819447188
Based on the multiplicity and redundancy of holographic recording and reconstruction, the paper presents a new kind of multi-channel image-plane holography, which used the method of multiple reference beams in one exposure to record and give the object's information in different field angles simultaneously. The construction principle of dual-reference-beam multiple-image-plane recording with the diffraction wave theory is also presented. As an example, a dual-reference-beam image-plane hologram is given. image plane holography was noted for its colorfulness and low dependence of reconstruction. But the view field of usual image hologram was largely limited. The accessible research in multiple channel holography can only reconstruct object's image in a fixed directional single channel, which limited the visual range and collected object's information in multiple channels at the same time. So it is, very worthful.
A new approach to sensor fusion and enhancement is presented. The retinex image enhancement algorithm is used to jointly enhance and fuse data from long wave infrared, short wave infrared and visible wavelength sensor...
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ISBN:
(纸本)0819444863
A new approach to sensor fusion and enhancement is presented. The retinex image enhancement algorithm is used to jointly enhance and fuse data from long wave infrared, short wave infrared and visible wavelength sensors. This joint optimization results in fused data which contains more information than any of the individual data streams. This is especially true in turbid weather conditions, where the long wave infrared sensor would conventionally be the only source of usable information. However, the retinex algorithm can be used to pull out the details from the other data streams as well, resulting in greater overall information. The fusion uses the multiscale nature of the algorithm to both enhance and weight the contributions of the different data streams forming a single output data stream.
The proceedings contain 458 papers. The topics discussed include: multiplierless realization of all pole digital filters;fast identification of linear systems in the presence of input and output noises;a novel blind s...
ISBN:
(纸本)0780374886
The proceedings contain 458 papers. The topics discussed include: multiplierless realization of all pole digital filters;fast identification of linear systems in the presence of input and output noises;a novel blind space-time multiuser detector;pre-extracting support vector by adaptive projective algorithm;intelligent antenna arrays for the TD-SCDMA uplink;in-loop deblocking filter for block-based video coding;improved recursive inverse filtering method for blind image kestokation;image segmentation using modified extended fuzzy rules;region-wide automatic visual search and pursuit surveillance system of vehicles and people using networked intelligent cameras;and weighted multiple bit-plane matching, a simple and efficient matching criterion for electronic digital image stabilizer application.
A class of linear/nonli near filters with varying adaptive window size is studied. After some (optional) color transformation, for each of three color channels the window size of the applied mask-filters is considered...
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ISBN:
(纸本)0892082399
A class of linear/nonli near filters with varying adaptive window size is studied. After some (optional) color transformation, for each of three color channels the window size of the applied mask-filters is considered as a parameter. The intersection of confidence intervals (ICI) rule is used for selection of the adaptive window size based on the filter's outputs obtained for different window sizes. In parallel five filters with symmetric and four quadrants masks are used. The ICI rule gives the adaptive window sizes for each of these filters and in a point-wise manner for each pixel of the image. This adaptive window size filters are able to suppress the noise efficiently provided that color edges are well preserved. The final filtering output is obtained by combining outputs of the mentioned five partial filters, each with the varying adaptive window sizes. This operation is produced for each color channel. Finally, we convert the estimates of the color image components back to RGB image. Originally, the ICI rule has been proved by theoretical and empirical studies to be efficient for linear and median filters. We show how this ICI rule can be modified and applied for color image filtering. Simulation experiments confirm that the ICI rule used for window size selection of the mean and median filters of the multichannel combined filters is able to significantly improve quality of color image filtering. The performance of the filters is characterized both by the accuracy and human visual perception criteria.
CCD micrographic opticalsystem is applied to observing and measuring Newton's rings. The reduction of the resolving power for the micrographs can be compensated by imageprocessing. Contrasting with the JXD-1micro...
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ISBN:
(纸本)0819447161
CCD micrographic opticalsystem is applied to observing and measuring Newton's rings. The reduction of the resolving power for the micrographs can be compensated by imageprocessing. Contrasting with the JXD-1microscope, on condition that the measuring precision is alike, CCD instrument of Newton's ring has the better observing effect, its visual field is enlarged to 2.5 times, the date can be collected more conveniently and there are no outside disturbs. By setting up the rule, this instrument can be more suited to the demands of the optical experimental teaching for today's university.
The technique of lossless image compression plays an important role in image transmission and storage for high quality. At present, both the compression ratio and processing speed should be considered in a real-time m...
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ISBN:
(纸本)0780374908
The technique of lossless image compression plays an important role in image transmission and storage for high quality. At present, both the compression ratio and processing speed should be considered in a real-time multimedia system. In this paper. a novel lossless compression algorithm is researched. A low complexity predictive model is proposed using the correlation of pixels and color components. In the meantime, perceptron in neural network is used to rectify the prediction values adaptively. It makes the prediction residuals smaller and in a small dynamic scope. Also a color space transforms is used and good decorrelation is obtained in our algorithm. Compared to the new standard JPEG-LS, this predictive model reduces its computational complexity. The compared experiment results have shown that our algorithm has noticeable better performance than the traditional algorithms. Moreover, its speed is faster than the JPEG-LS with negligible performance sacrifice.
The mathematical model of cellular neural network (CNN) working in discrete time is considered. The possibility of such devices for computation the convolution of two-dimensional digital signal with a given kernel is ...
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ISBN:
(纸本)5742202601
The mathematical model of cellular neural network (CNN) working in discrete time is considered. The possibility of such devices for computation the convolution of two-dimensional digital signal with a given kernel is showed. The algorithm of construction of a difference equation with constant coefficient, which has the solution of a demanded convolution is given. The hardware implementation of this equation is given the structure of CNN. Model of an exponential smoothing filter of two-dimensional digital signal explicitly is considered.
It is generally agreed that video conferencing today is limited in its support of natural human-centered communication. Body postures and subtle movement, gaze direction, room acoustics, and joint object/data interact...
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Engineers are expected to understand the structure, goals, and values of the organizations for which they work. Only then can they contribute effectively to these organizations through the production of appropriate go...
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ISBN:
(纸本)0780375912
Engineers are expected to understand the structure, goals, and values of the organizations for which they work. Only then can they contribute effectively to these organizations through the production of appropriate goods and services as well as routine communications. Based on the work of Hatch and Schultz (2000), the author of this article offers four concepts (identity, image, brand, and culture)for conducting organizational analysis from varied internal and external perspectives and presents composing practices that follow from this analysis. An advertisement for Ford Motor Company is the primary artifact through which the concepts are examined. As students of engineering enter their respective fields, they must be well equipped to provide not only technical knowledge and skills but also effective communication to the organizations they join. Part of this preparation involves teaching students how to analyze (and critique, if necessary) the goals, values, and priorities of the environments in which they will work, since the context of an organization influences document concerns ranging from audience assumptions to visual layout to language use. This paper addresses some of the ways in which students of engineering might be better prepared to enter the profession through increased knowledge of the workplace, as we as how seasoned engineers might be re-introduced to the purposes behind their work for a particular organization.
Time varying simulations are common in many scientific domains to study the evolution of phenomena or features. The data produced in these simulations is massive. Instead of just one dataset of 512(3) or 1024(3) (for ...
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ISBN:
(纸本)0819444057
Time varying simulations are common in many scientific domains to study the evolution of phenomena or features. The data produced in these simulations is massive. Instead of just one dataset of 512(3) or 1024(3) (for regular gridded simulations) there could now be hundreds to thousands of timesteps. For datasets with evolving features, feature analysis and visualization tools are crucial to help interpret all the information. For example, it is usually important to know how many regions are evolving, what are their lifetimes, do they merge with others, how does the volume/mass change, etc. Therefore, feature based approaches, such as feature tracking and feature quantification are needed to follow identified regions over time. In our previous work, we have developed a methodology for analyzing time-varying datasets which tracks 3D amorphous features as they evolve in time. However, the implementation is for single-processor non-adaptive grids and for massive multiresolution datasets this approach needs to be distributed and enhanced. In this paper, we describe extensions to our feature extraction and tracking methodology for distributed AMR simulations. Two different paradigms are described, a "fully distributed" and a "partial-merge" strategy. The benefits and implementations of both are discussed.
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