a simple but novel and applicable approach is proposed to solve the problem of smoothing effect of ordinary kriging estimate which is widely used in mining and earth sciences. it is based on transformation equation in which z scores are derived from ordinary kriging estimates and then rescaled by the standard deviation of sample data and the sample mean is added to the result. it bears the grea...

Sequential Gaussian simulation (sgsim) and sequential indicator simulation (sisim) have emerged as powerful tools for stochastic imaging of Earth Science phenomena and are currently widely accepted fast simulation algorithms. In this paper, we will expand the sequential simulation toolbox by relying on a recent development in geostatistical theory (Journel, 1994) denoted as direct sequential si...

Significant advances have recently been made in the coding of video data recorded with multiple cameras. However, luminance and chrominance variations between the camera views may deteriorate the performance of multi−view video codecs and renderers. In this paper, the usage of time−constant histogram matching is proposed to compensate these differences in a pre−filtering step. It is shown that ...

We present a novel method, which we refer as an integral histogram, to compute the histograms of all possible target regions in an image. Our method is computationally superior and makes it possible to employ even an exhaustive search process in real-time, which was impractical before. Furthermore, it enables the description of higher level histogram features. To accomplish fast extraction, we ...

A spatiotemporal stochastic simulation approach for constructing maps of daily precipitation at regional scales in a hindcast mode is proposed in this paper. Parametric temporal trend models of precipitation are first established at the available rain gauges. Temporal trend model parameters are then regionalized in space accounting for their spatial autoand cross-correlation, as well as for the...

This document describes the implementation of several features previously developed[2], extending the 2D scale invariant feature transform (SIFT)[4, 5] for images of arbitrary dimensionality, such as 3D medical image volumes and time series, using ITK1. Specifically, we provide a scale invariant implementation of a weighted histogram of gradient feature, a rotationally invariant version of the ...

We present an automated approach for the dodging of images, with which we edit digital images as it is usually done with analogue images in dark-rooms. Millions of aerial images of all battle fields were taken during the Second World War. They were intensively used, e.g. for the observation of military movements, the documentation of success and failure of military operations and further planni...

The spatial continuity of the variables we model in geostatistics is dependent on the modelling and reproduction of the variogram. The variogram defines the relationship between variability (or geologic distance) and the lag distance (or Euclidian distance). As the magnitude of the lag separation vector increases, we typically expect the variogram to also increase. This is generally observed. T...