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Cristina Pérez-Benito, Samuel Morillas, Cristina Jordán and J. Alberto Conejero

Abstract

It is still a challenge to improve the efficiency and effectiveness of image denoising and enhancement methods. There exists denoising and enhancement methods that are able to improve visual quality of images. This is usually obtained by removing noise while sharpening details and improving edges contrast. Smoothing refers to the case of denoising when noise follows a Gaussian distribution.

Both operations, smoothing noise and sharpening, have an opposite nature. Therefore, there are few approaches that simultaneously respond to both goals. We will review these methods and we will also provide a detailed study of the state-of-the-art methods that attack both problems in colour images, separately.

Open access

Vicente García-Díaz, Jordán Pascual Espada, B. Cristina Pelayo García-Bustelo, Juan Manuel Cueva Lovelle and Janis Osis

Abstract

With the proliferation of mobile and distributed systems capable of providing its geoposition and even the geoposition of any other element, commonly called point of interest, developers have created a multitude of new software applications. For this purpose, different technologies such as the GPS or mobile networks are used. There are different languages or formats used to define these points of interest and some applications that facilitate such work. However, there is no globally accepted standard language, which complicates the intercommunication, portability and re-usability of the definitions of points of interest currently in use. In this paper, we take the first steps towards a language and a development environment independent of the underlying technologies, allowing developers to define the points of interest in a simple and fast way, and automatically generate other different formats from the same definition that can be considered a bridge among current technologies. We use the Model-Driven Engineering approach, focusing on the creation of models to abstract the definition of systems from the underlying technologies.