Realce Automático de Imagens Subaquáticas em Rios da Amazônia

Abstract

The enhancement of underwater images in applications in the area of Amazonian rivers has been increasingly required and needs further study especially where the rivers have high turbidity and low light. There is increasingly demand for automatic enhancement methods to carry out monitoring of fauna and flora intensive rivers, as well as for the maintenance of pipelines and underwater cables. The enhancement methods specified, developed and validated for using in the rivers of the Amazonia are faced with the problem of imaging quality. The research related to underwater am environments of the Amazon has to dead with high turbidity of the water, caused mainly due to particles in suspension and interaction of light with the environment. The underwater images extraction with satisfiable visibility of the environments of Amazonian rivers has become extremely indispensable and relevant, given that there are natural treasures still unexplored into the depths of these rivers, as well as there is need to maintain the underwater part of the transportation system gas LPG (Liquefied Petroleum Gas) Coari-Manaus. Given this promising scenario, this study aims to improve these images by applying techniques of enhancement using nonlinear filters, which promote the minimization of the light interaction characteristics with the environment, loss of contrast and color in images extracted from turbid underwater environments. The method was experimentally validated with images acquired from simulations of underwater scenes and images acquired in outdoor underwater environments. The proposed method is compared to two other techniques of highlighting or enhancement of images. As in this study, these techniques also require a single image as input. The results return images with enhanced visual quality, considering a large set of experiments with simulation data and real outdoors scenes.