VISUAL IMAGE PROCESSING LABORATORY
A research project on computational vision science.

Funded by Generalitat Valenciana under grant AICO-2020-136 (VIPLab) and CIAICO/2022/051 (IMaLeVICS) 

ACTIVITY AND PUBLICATIONS

Image Noise Reduction by bootstrap resampling

Image Noise Reduction by bootstrap resampling

Bootstrapping-Based Fuzzy Numbers Reza Ghasemi, Samuel Morillas, Ahmad Nezakati and Mohammadreza Rabiei. Image Noise Reduction by Means of Bootstrapping-Based Fuzzy Numbers. Appl. Sci. 2022, 12, 9445. As you know, nonlinear methods significantly reduce image noise and...

On Principal Fuzzy Metric Spaces

On Principal Fuzzy Metric Spaces

The notion of fuzzy metric space (X,M,∗) Valentín Gregori, Juan-José Miñana, Samuel Morillas and Almanzor Sapena. In this paper, we deal with the notion of fuzzy metric space (X ,M, ∗), or simply X , due toGeorge and Veeramani. It is well known that such fuzzy metric...

Spectral Reflectance Reconstruction

Spectral Reflectance Reconstruction Using Fuzzy Logic System Training: Color Science Application Morteza Maali Amiri, Sergio Garcia-Nieto, Samuel Morillas and Mark D. Fairchild In this work, we address the problem of spectral reflectance recovery from both CIEXYZ and...

Two new methods for simultaneous smoothing and sharpening

Graphs based methods for simultaneous smoothing and sharpening Cristina Pérez-Benito, Cristina Jordán, J. Alberto Conejero, Samuel Morillas We present two new methods for simultaneous smoothing and sharpening of color images: the GMS3 (Graph Method for Simultaneous...

Novel colour image denoising method

Colour image denoising by eigenvector analysis of neighbourhood colour samples Pedro Latorre-Carmona, Juan-José Miñana & Samuel Morillas Colour image smoothing is a challenging task because it is necessary to appropriately distinguish between noise and original...