Saliency estimation using a non-parametric low-level vision model
Many successful models for predicting attention in a scene involve three main steps:
convolution with a set of filters, a center-surround mechanism and spatial pooling to …
convolution with a set of filters, a center-surround mechanism and spatial pooling to …
[图书][B] Color in computer vision: fundamentals and applications
While the field of computer vision drives many of today's digital technologies and
communication networks, the topic of color has emerged only recently in most computer …
communication networks, the topic of color has emerged only recently in most computer …
[HTML][HTML] Color illusions also deceive CNNs for low-level vision tasks: Analysis and implications
The study of visual illusions has proven to be a very useful approach in vision science. In
this work we start by showing that, while convolutional neural networks (CNNs) trained for …
this work we start by showing that, while convolutional neural networks (CNNs) trained for …
Colour constancy beyond the classical receptive field
A Akbarinia, CA Parraga - IEEE transactions on pattern …, 2017 - ieeexplore.ieee.org
The problem of removing illuminant variations to preserve the colours of objects (colour
constancy) has already been solved by the human brain using mechanisms that rely largely …
constancy) has already been solved by the human brain using mechanisms that rely largely …
Saliency prediction based on multi-channel models of visual processing
Q Li - Machine Vision and Applications, 2023 - Springer
Visual attention is one of the most significant characteristics for selecting and understanding
the outside redundancy world. The human vision system cannot process all information …
the outside redundancy world. The human vision system cannot process all information …
Which tone-mapping operator is the best? A comparative study of perceptual quality
CA Parraga, X Otazu - JOSA A, 2018 - opg.optica.org
Tone-mapping operators (TMOs) are designed to generate perceptually similar low-dynamic-
range images from high-dynamic-range ones. We studied the performance of 15 TMOs in …
range images from high-dynamic-range ones. We studied the performance of 15 TMOs in …
Polyp classification based on bag of features and saliency in wireless capsule endoscopy
Wireless capsule endoscopy (WCE) enables non-invasive visual inspection of the patients'
digestive tract. However, the huge number of images from the WCE has been a hurdle for …
digestive tract. However, the huge number of images from the WCE has been a hurdle for …
[HTML][HTML] An improved saliency model of visual attention dependent on image content
Many visual attention models have been presented to obtain the saliency of a scene, ie, the
visually significant parts of a scene. However, some mechanisms are still not taken into …
visually significant parts of a scene. However, some mechanisms are still not taken into …
[HTML][HTML] On the synthesis of visual illusions using deep generative models
Visual illusions expand our understanding of the visual system by imposing constraints in
the models in two different ways: i) visual illusions for humans should induce equivalent …
the models in two different ways: i) visual illusions for humans should induce equivalent …
Perceptual color characterization of cameras
J Vazquez-Corral, D Connah, M Bertalmío - Sensors, 2014 - mdpi.com
Color camera characterization, mapping outputs from the camera sensors to an independent
color space, such as XY Z, is an important step in the camera processing pipeline. Until now …
color space, such as XY Z, is an important step in the camera processing pipeline. Until now …