We propose and numerically solve a new variational model for automatic saliency detection
and segmentation in digital images. Using a non-local framework we consider a family of …

Being one of the most effective methods, Alternating Direction Method (ADM) has been
extensively studied in numerical analysis for solving linearly constrained convex program …

In this paper, we propose and solve numerically a general non-smooth, non-local variational
model to tackle the saliency detection problem in natural images. In order to overcome the …

Estimating salient object regions automatically has enhanced many computer vision
applications in recent years. By observing the intrinsic sparsity of saliency map, we propose …

Saliency detection is an image processing task which aims at automatically estimating
visually salient object regions in a digital image mimicking human visual attention and eyes …

The parallel computing paradigm has made a significant impact on many scientific areas
whose algorithms have experienced a substantial improvement. In Computer Vision, there …

Antecedentes Debido a las dificultades para aumentar las frecuencias de reloj de los
procesadores, para acceder a la memoria principal disminuyendo la latencia y aumentando …

Humans have a natural tendency to view a visually attractive (ie, salient) object in its entirety.
However, previous methods for salient object detection only highlight some parts of the …

Computer Vision is a field that aims to simulate the human visual system. In the last decade,
with the continuous emergence of multimedia data and applications, there has been an …

We propose and numerically solve a new variational model for automatic saliency detection
in digital images. Using a non-local framework we consider a family of edge preserving …