Pérez-Benito, Cristina; Morillas, Samuel; Jordan-Lluch, Cristina; Conejero, J. Alberto(Elsevier, 2018)
[EN] In this paper, a new model for processing colour images is presented. A graph is built for each image pixel taking into account some constraints on links. Each pixel is characterized depending on the features of its ...
Pérez Benito, Cristina(Universitat Politècnica de València, 2019-07-22)
[ES] La visión artificial es uno de los campos en mayor crecimiento en la actualidad que, junto con otras tecnologías como la Biometría o el Big Data, se ha convertido en el foco de interés de numerosas investigaciones y ...
Pérez-Benito, Cristina; Morillas, Samuel; Jordán, Cristina; Conejero, J. Alberto(Universitat Politècnica de València, 2018-02-05)
[EN] A model based on local graphs to classify pixels coming from at or detail regions of an image is presented. For each pixel a local graph is dened. Its structure will depend on the similarity between neighbouring pixels. ...
Pérez-Benito, Cristina; Jordan-Lluch, Cristina; Conejero, J. Alberto; Morillas, Samuel(Elsevier, 2019)
[EN] In this work we introduce an image characterization of pixels based on local graphs that allows to distinguish different local regions around a pixel. This separation also permits us to develop a method for determining ...
Pérez-Benito, Cristina; Jordan-Lluch, Cristina; Conejero, J. Alberto; Morillas, Samuel(Elsevier, 2020)
[EN] We present two new methods for simultaneous smoothing and sharpening of color images: the GMS(3) (Graph Method for Simultaneous Smoothing and Sharpening) and the NGMS(3)(Normalized Graph-Method for Simultaneous Smoothing ...
Pérez-Benito, Cristina; Morillas, Samuel; Jordan-Lluch, Cristina; Conejero, J. Alberto(UP4 Institute of Sciences, S.L., 2017)
[EN] 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 ...