Color smoothing for RGB-D data using entropy information
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http://hdl.handle.net/10045/62708
Título: | Color smoothing for RGB-D data using entropy information |
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Autor/es: | Navarrete, Javier | Viejo Hernando, Diego | Cazorla, Miguel |
Grupo/s de investigación o GITE: | Robótica y Visión Tridimensional (RoViT) |
Centro, Departamento o Servicio: | Universidad de Alicante. Departamento de Ciencia de la Computación e Inteligencia Artificial | Universidad de Alicante. Instituto Universitario de Investigación Informática |
Palabras clave: | RGB-D data | Entropy | Color smoothing | Noise reduction |
Área/s de conocimiento: | Ciencia de la Computación e Inteligencia Artificial |
Fecha de publicación: | sep-2016 |
Editor: | Elsevier |
Cita bibliográfica: | Applied Soft Computing. 2016, 46: 361-380. doi:10.1016/j.asoc.2016.05.019 |
Resumen: | RGB-D sensors are capable of providing 3D points (depth) together with color information associated with each point. These sensors suffer from different sources of noise. With some kinds of RGB-D sensors, it is possible to pre-process the color image before assigning the color information to the 3D data. However, with other kinds of sensors that is not possible: RGB-D data must be processed directly. In this paper, we compare different approaches for noise and artifacts reduction: Gaussian, mean and bilateral filter. These methods are time consuming when managing 3D data, which can be a problem with several real time applications. We propose new methods to accelerate the whole process and improve the quality of the color information using entropy information. Entropy provides a framework for speeding up the involved methods allowing certain data not to be processed if the entropy value of that data is over or under a given threshold. The experimental results provide a way to balance the quality and the acceleration of these methods. The current results show that our methods improve both the image quality and processing time, as compared to the original methods. |
Patrocinador/es: | This work has been partially supported by grant DPI2013-40534-R from Ministerio de Economia y competitividad of the Spanish Government, supported by Feder funds, and Valencian’s Government project GV/2014/097. |
URI: | http://hdl.handle.net/10045/62708 |
ISSN: | 1568-4946 (Print) | 1872-9681 (Online) |
DOI: | 10.1016/j.asoc.2016.05.019 |
Idioma: | eng |
Tipo: | info:eu-repo/semantics/article |
Derechos: | © 2016 Elsevier B.V. |
Revisión científica: | si |
Versión del editor: | http://dx.doi.org/10.1016/j.asoc.2016.05.019 |
Aparece en las colecciones: | INV - RoViT - Artículos de Revistas |
Archivos en este ítem:
Archivo | Descripción | Tamaño | Formato | |
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2016_Navarrete_etal_ApplSoftComp_final.pdf | Versión final (acceso restringido) | 5,97 MB | Adobe PDF | Abrir Solicitar una copia |
2016_Navarrete_etal_ApplSoftComp_preprint.pdf | Preprint (acceso abierto) | 5,94 MB | Adobe PDF | Abrir Vista previa |
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