In this paper we present a new patch-based empirical Bayesian video denoising algorithm.
The method builds a Bayesian model for each group of similar space-time patches. These …

Medical imaging is currently employed in the diagnosis, planning, delivery and response
monitoring of cancer treatments. Due to physiological motion and/or treatment response, the …

This paper proposes a cloud detection algorithm for Earth observation images obtained by
pushbroom satellite imagers. The pushbroom technology induces an inter-band acquisition …

Recent studies on optical flow typically focus on the estimation of the single flow field in
between a pair of images but pay little attention to the multiple consecutive flow fields in a …

The use of convolutional neural networks (CNNs) in image classification has become the
standard method of approaching many computer vision problems. Here we apply pre …

Patch-based approaches such as 3D block matching and non-local Bayes are widely
accepted filters for removing Gaussian noise from single-frame images. We propose three …

En este trabajo, presentamos la iniciativa IPOL como recurso docente. Esta es una revista
de Ciencia Abierta e Investigación Reproducible centrada en el campo del procesamiento …

En este trabajo, queremos destacar la importancia de inculcar ciencia reproducible al
alumnado, especialmente en la formación de nuevos investigadores e investigadoras. La …

The use of convolutional neural networks (CNNs) in image classification has become the
standard method of approaching computer vision problems. Here we apply pre-trained …

Shifted Superposition (SSPOS) is a resolution enhancement method where apparent high-
resolution content is displayed using a lowresolution projection system with an opto …