We proposed a distributed imageprocessing environment VIOS. In this paper, the third version, VIOS iii is proposed. In VIOS iii, a new parallel processing language VPE-p which has flexible syntax for describing paral...
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ISBN:
(纸本)0818685123
We proposed a distributed imageprocessing environment VIOS. In this paper, the third version, VIOS iii is proposed. In VIOS iii, a new parallel processing language VPE-p which has flexible syntax for describing parallel algorithms has been developed. And the new programmable buffer for accessing global variable through local area network is also proposed. The description ability for parallel imageprocessingalgorithms and processing performance using workstation clusters and multi processor system are investigated by several imageprocessing and recognition algorithms.
The range and scope of electro-optical (EO) sensor systems within security and surveillance (S&S) is growing, and this places a corresponding demand on the imageprocessing functionality required to meet end users...
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ISBN:
(纸本)9780819468994
The range and scope of electro-optical (EO) sensor systems within security and surveillance (S&S) is growing, and this places a corresponding demand on the imageprocessing functionality required to meet end users' requirements. Increasingly, these requirements include the ability to monitor wide areas with multiple affordable cameras, and for good quality imagery to be available 24-hours a day. This paper presents the results from some real-time systems which offer this capability, and focuses on a number of the imageprocessing techniques used to deliver a high-quality, wide-angle, day/night capability. These include the production of a seamless image mosaic from multiple sensors, the removal of artefacts from scenes, enhancements to-take account of changing environmental conditions, and a means of allowing the system to automatically focus on an area of interest highlighted by an operator. In addition, the cost of some high-performance S&S systems may be reduced by omitting physical calibration elements and performing sensor calibration using scene-derived data instead, and so a method for achieving this is also reported. The paper considers both the theoretical aspects of the algorithms presented and the issues involved-in real-time implementation for S&S applications.
The application of video coding systems such as MPEG in portable systems like organizers and mobile phones, can be scaled down to reduced complexity that matches with the desired video quality and/or display In this p...
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ISBN:
(纸本)0780367251
The application of video coding systems such as MPEG in portable systems like organizers and mobile phones, can be scaled down to reduced complexity that matches with the desired video quality and/or display In this paper, a new DCT computation algorithm is presented, based on an analysis for optimizing the amount of computations involved at each computing stage, using existing fast DCT calculation algorithms. The analysis is used to scale down the video quality, thereby lowering the computing power and resource usage Compared to a diagonally oriented computation of coefficients that matches with the conventional MPEG scanning, a 2-4 SNR dB improvement is obtained when scaling down the video quality to halved computing resources.
This paper explores the nature of Very Large Scale Integration (VLSI) systems as applied to the area of medical imaging systems. A general discussion of imaging systems and the techniques employed therein will be pres...
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This paper explores the nature of Very Large Scale Integration (VLSI) systems as applied to the area of medical imaging systems. A general discussion of imaging systems and the techniques employed therein will be presented. With this, the merits of VLSI solutions to the medical imaging problem are presented. Consideration is also given to programmable processors, such as off the shelf DSP processors, semi-custom, and full custom VLSI devices. Through the use of VLSI devices, many imageprocessingalgorithms can be integrated into a hardware solution. This has the advantage of increased computational capacity over solutions that would normally employ software techniques.
We develop efficient algorithms for low and intermediate level imageprocessing on the scan line array processor that handles images in a scan line fashion. For low level processing, we present algorithms for block DF...
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In this paper, we propose a novel technique for blind image restoration and resolution enhancement based on radial basis function (RBF) neural network. The RBF network gives a solution of the regularization problem of...
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ISBN:
(纸本)0819452017
In this paper, we propose a novel technique for blind image restoration and resolution enhancement based on radial basis function (RBF) neural network. The RBF network gives a solution of the regularization problem often seen in function estimation with certain standard smoothness functional used as stabilizers. A RBF network model is designed to represent the observed image. In this model, the number and distribution of the centers (which are set to the pixels of the observed image) are fixed. In addition, network output is set to the observed image pixel gray scale value. The RBF plays a role of point spread function. The technique can also be applied to image resolution enhancement by generating an interpolated image from the low resolution version. Experimental results show that the learning algorithm call effectively estimate the model parameters and the established neural network model has a high fidelity in representing an image. It is believed that the proposed neural network model provides a valuable tool for image restoration and resolution enhancement and holds promises to improve the quality and efficiency of imageprocessing.
In a variety of applications (including automatic target recognition) image classification algorithms operate on compressed image data. This paper explores the design of optimal transform coders and scalar quantizers ...
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ISBN:
(纸本)0780362985
In a variety of applications (including automatic target recognition) image classification algorithms operate on compressed image data. This paper explores the design of optimal transform coders and scalar quantizers using Chernoff bounds on probability of misclassification as the measure of classification accuracy. This design improves classification performance but the mean square error (as well as the visual quality) of the coded image degrades. However, by appropriately combining classification accuracy and mean square error in the cost function, one can achieve good classification with low (visual) distortion, which is desirable in classification systems requiring visual authentication.
Markov random field techniques for region labeling have become prevalent in imageprocessing research since the seminal work of Geman and Geman in the early 1 980's. Their use in actual working systems, however, h...
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ISBN:
(纸本)0819416282
Markov random field techniques for region labeling have become prevalent in imageprocessing research since the seminal work of Geman and Geman in the early 1 980's. Their use in actual working systems, however, has been hampered by a number ofdifficult problems. Perhaps the most intractable of the problems has been the convergence rate of the algorithm. In this paper, we present a technique that introduces stable points in the labeling array of the random field. The stable points are determined by using a simple statistical pixel classifier together with a confidencemeasure at each pixel. The most confident (top 1% )pixellabels are selected and these labels are used to initiate the evolution of the random field. The stable points introduce pockets of "certainty" in the evolution of the process. The labeling is locally stable and even small numbers of stable points vastly decrease convergence rates of the algorithm.
A device has been designed for off-line optical paper inspection and quality control of stripes and holes in the cigarette paper. Hardware description is first presented including main paper characteristics to be meas...
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ISBN:
(纸本)0819450146
A device has been designed for off-line optical paper inspection and quality control of stripes and holes in the cigarette paper. Hardware description is first presented including main paper characteristics to be measured. Typical paper stripe and holes structures are then discussed with imageprocessing and analysis considerations to discriminate these structures, focusing in the problems derived from the small area of holes and of their internal structure that is analyzed with a confocal microscope. algorithms for imageprocessing and analysis are described. These algorithms involve equalization, binarization, stripes structure detection, holes distribution and statistics.
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 j...
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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.
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