Abstract. An orthophotomosaic is as a single image that can be layered on map. It produced from set of aerial images impaired by radiometric inhomogeneity mostly due to atmospheric phenomena, like hotspot, haze or high altitude clouds shadows well the camera itself, lens vignetting. These create some unsightly in mosaic could corrected using local adaptive filter, also named Wallis filter. Yet ...

We investigate the design of subband coders without the traditional perfect-reconstruction constraint on the filters. The coder uses scalar quantizers, and its filters and bit allocation are designed so as to optimize a rate-distortion criterion. Our results hold for a broad class of ratedistortion criteria that satisfy certain convexity properties. We begin by showing that optimality can be ac...

We introduce a new approach for the least squared optimization of a weighted FIR filter of arbitrary order under the constraint that its magnitude squared response be Nyquist( ). Although the new formulation is general enough to cover a wide variety of applications, the focus of the paper is on optimal energy compaction filters. The optimization of such filters has received considerable attenti...

Reduced-order modeling represents an attractive approach for accelerating computationally expensive reservoir simulation applications. In this paper, we introduce and apply such a methodology for data assimilation problems. The technique applied to provide flow simulation results, trajectory piecewise linearization (TPWL), has been used previously for production optimization problems, where it ...

This paper reports on work which fuses three different appearance models to enable robust tracking of multiple objects on the basis of colour. Short-term variation in object colour is modelled non-parametrically using adaptive binning histograms. Appearance changes at intermediate time scales are represented by semi-parametric (Gaussian mixture) models while a parametric subspace method (Robust...

The performance of a local feature based system, using Gabor-filters, and a global template matching based system, using a combination of PCA (Principal Component Analysis) and LDA (Linear Discriminant Analysis), was correlated with human performance on a recognition task involving 32 face images. Both systems showed qualitative similarities to human performance in that all but one of the calcu...

This paper introduces a new method of performing mutation in a real-coded Genetic Algorithm (GA), a method driven by Principal Component Analysis (PCA). We present both theoretical and empirical results which show that our mutation operator attains higher levels of diversity in the search space, as compared to other mutation operators, meaning that by employing our mutation operator we maintain...

In this paper a novel feature enhancing method for channel robustness with short utterances is employed. The transform reduces the time-varying component of the channel distortion by applying a band-pass filter along the filter-bank domain on a frame-by-frame basis. This procedure enhances the channel cancelling effect given by techniques based on feature trajectory filtering. The transformatio...

introduction: the accuracy of analyzing functional mri (fmri) data is usually decreases in the presence of noise and artifact sources. a common solution in for analyzing fmri data having high noise is to use suitable preprocessing methods with the aim of data denoising. some effects of preprocessing methods on the parametric methods such as general linear model (glm) have previously been evalua...

here, we propose an add-drop and a channel drop filter based on two-dimensional photonic crystal all circular ring resonators. these structures are made of a square lattice of silicon rods with the refractive index n1=3.464 surrounded by air (with refractive index n2=1). the broadest photonic band gap occurs at the filling ratio of r/a = 0.17. two linear defect w1 waveguides couple to the ring....