• We propose a deep neural network to predict 2D subsurface property fields from 1D measurement data (e.g., time series) thereby offering new way perform inversion. The method is illustrated using inversion of synthetic (1) first-arrival GPR travel times and (2) series transient hydraulic heads multi-pumping experiment. generalizes by producing more appropriate models when fed with than those f...

Halftoning is the rendition of continuous-tone pictures on displays, paper or other media that are capable of producing only two levels. In digital halftoning, we perform the gray scale to bilevel conversion digitally using software or hardware. In the last 3 decades, several algorithms have evolved for halftoning. Examples of algorithms include ordered dither, error diffusion, blue noise masks...

For many years, researchers have investigated information science, such as image analysis (Besag, 1974, Winkler, 1995, Cressie, 1993). Especially, image restoration has been studied as a fundamental problem in information science. In a recent development of this field, theoretical physicists have applied statistical mechanics to information based on analogy between statistical mechanics and Bay...

in this study, magnetic iron oxide nanoparticles (fe3o4) with the size range of 20-30 nm were prepared by the modified controlled chemical co-precipitation method from the solution of ferrous/ferric mixed salt-solution in alkaline medium. in this process polyethylene glycol was used as a surfactant to prevent the solution from agglomeration. the prepared magnetic nanoparticles were characterize...

Image compression is one of the important techniques used today for image and video transmission. There are many types of image compression techniques are used these days; one of them is JPEG technique. In this research, we introduce a new idea for applying the JPEG technique with Discrete Wavelet Transform (DWT) for high-resolution images. Our image compression algorithm consists of; firstly, ...

The geometry of fractals is rich enough that they have extensively been used to model natural phenomena and images. Iterated function systems (IFS) theory provides a convenient way to describe and classify deterministic fractals in the form of a recursive definition. As a result, it is conceivable to develop image representation schemes based on the IFS parameters that correspond to a given fra...