Efficiency of the autofocusing algorithm implementations based on various orthogonal transforms is examined. The algorithm uses the variance of an image acquired by a sensor as a focus function. To compute the estimat...
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Efficiency of the autofocusing algorithm implementations based on various orthogonal transforms is examined. The algorithm uses the variance of an image acquired by a sensor as a focus function. To compute the estimate of the variance we exploit the equivalence between that estimate and the image orthogonal expansion. Energy consumption of three implementations exploiting either of the following fast orthogonal transforms: the discrete cosine, the Walsh-Hadamard, and the Haar wavelet one, is evaluated and compared. Furthermore, it is conjectured that the computation precision can considerably be reduced if the image is heavily corrupted by the noise, and a simple problem of optimal word bit-length selection with respect to the signal variance is analyzed.
Object-level saliency detection is an important branch of visual saliency. In this paper, we propose a novel method which can conduct object-level saliency detection in both images and videos in a unified way. We empl...
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A simple model of the phase-detection autofocus device based on the partially masked sensor pixels is described. The cross-correlation function of the half-images registered by the masked pixels is proposed as a focus...
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A simple model of the phase-detection autofocus device based on the partially masked sensor pixels is described. The cross-correlation function of the half-images registered by the masked pixels is proposed as a focus function. It is shown that-in such setting-focusing is equivalent to searching of the cross-correlation function maximum. Application of stochastic approximation algorithms to unimodal and non-unimodal focus functions is shortly discussed.
With the ever increasing wireless connectivity and complexity of infrastructure-oriented systems, security is a very important issue for all network-based infrastructures in a modern enterprise environment. There are ...
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This paper introduces a bio-inspired approach for development of collective intelligence based computational models. These models are suitable for autonomous sensing, monitoring and control strategies for ambient syst...
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Two algorithms recovering an input nonlinearity in a nonlinear distributed element modeled as a Hammerstein system are proposed. The first is based on the empirical distribution function while the other on the empiric...
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Two algorithms recovering an input nonlinearity in a nonlinear distributed element modeled as a Hammerstein system are proposed. The first is based on the empirical distribution function while the other on the empirical Haar orthogonal series. Both algorithms self-adjust their accuracy to a local density of the input measurements.
In this paper, we present a scene text extraction approach which can realize text localization and segmentation simultaneously. Two popular paradigms (machine learning method and rule-based method) are combined to ach...
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Large scale wind power integration has influenced the safety of power system. Taking wind power integration in Jilin as example, the paper describes the influencing factors of large scale wind power integration on rea...
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It is a powerful guarantee for the safe and stable operation of the grid to detect and study its characteristics such as the active power, the reactive power, the flicker and the harmonic. Dewetron5000 system and its ...
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As one of main clean energies, wind power has been developed fast, but the fluctuations of active power at a wind farm is a huge challenge for the grid system, thus it is essential for wind farm connected into grid to...
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