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Global support radial base functions are effective in eliminating impulsive noise in non-linear processing. This paper introduces an interpolation technique which efficiently reduces image impulsive noise by means of an interpolant obtained through radial base functions. These functions have been used in a research project designed to develop a system for the recovery of images of Amazonian aquatic resources. This technique starts with the tagging by interpolation of noisy image pixels. Thus, a value of reconstruction for the noisy pixels is generated using neighboring pixels. The results obtained with this technique have proved comparable and often better than those obtained with previously known techniques. According to results analysis, this technique can be successfully applied on images with high noise levels. The results are low error in noisy pixel reconstruction and better visual quality. [ABSTRACT FROM AUTHOR]

In Information Retrieval Systems, Image Retrieval Systems are located; they allow generating searching and storing processes of resources through coincidences by key words or other real-time methods. This type of systems can use visual content of images (color, texture, and brightness) as indices. In addition, these systems combine different attributes to improve the processes of classification and relevance of the searching process results known as "Information Quality." This paper presents the modeling of a Image Retrieval System which combines attributes of the contentbased retrieval such as color, texture, and shape, with the Information Quality-based retrieval as updating portability and relevance frequency in the context of Digital Image Collection of Aquatic Amazon Ecosystems of Universidad del Amazonia CAPREA Research Group. [ABSTRACT FROM AUTHOR]

This article presents a compilation of the researches carried on the image recovery from web digital collections, based upon their contents and data quality management. Using this state-of-the-art study as a support, the article presents a methodological proposal to design and implement a system prototype in image recovery that uses these two search techniques; and finally the article presents the progress achieved in developing this proposal. [ABSTRACT FROM AUTHOR]

In this paper we present a method that permits the reduction of redundant information in range images using radial base functions and we indicate how these functions permit a continuous surface without holes or superposition when the images are integrated in a common system of coordinates. [ABSTRACT FROM AUTHOR]

Today, thanks to global positioning systems and mobile devices equipped with sensors, it is possible to capture information about the trajectory followed by moving objects such as persons, animals, and vehicles, among others. In this paper we analyze, in particular, the trajectories followed by moving objects on a predefined route, as in the case of a public transport system, in which vehicles should travel by a predetermined route. We present a case study where this type of trajectories are incorporated as a subject of analysis in a data warehouse. [ABSTRACT FROM AUTHOR]