(a) Test image patches with varying levels of blur. (b) Gabor Filter Bank (GFB) model (see Fig 4A) responses to patches with varying levels of blur. Different curves indicate different fixed levels of Michelson contrast (blue = 0.2, orange = 0.4, yellow = 0.6). (c) Same as (a) but for Filter-Rectify-Filter (FRF) models having varying numbers of hidden units (Fig 4B).</p
Influential models of edge detection have generally supposed that an edge is detected at peaks in th...
To make vision possible, the visual nervous system must represent the most informative features in t...
Lightness, or perceived reflectance of a surface, is influenced by surrounding context. This is demo...
(a) Left: Original occlusions. Middle: Averaging the pixel intensities on each side of the occlusion...
AbstractIn many models of edge analysis in biological vision, the initial stage is a linear 2nd deri...
(a) GFB model. An image patch is analyzed by a bank of 72 oriented log-Gabor filters covering 3 spat...
In this study, we measured blur discrimination threshold at different blur levels. We found that the...
This thesis presents a study of how edges are detected and encoded by the human visual system. The s...
International audienceTo achieve the best image quality, noise and artifacts are generally removed a...
Observer sensitivity to edge blur has been examined by experimental measurements of threshold blur a...
To make vision possible, the visual nervous system must represent the most informative features in t...
Perceived blur is an important measure of image quality and clinical visual function. The magnitude ...
To make vision possible, the visual nervous system must represent the most informative features in t...
Adapting to blurred or sharpened images alters perceived blur of a focused image (M. A. Webster, M. ...
<p><b>a,</b> Probability distribution of the 512 possible 3×3 1-bit pixel patterns (grey histogram)....
Influential models of edge detection have generally supposed that an edge is detected at peaks in th...
To make vision possible, the visual nervous system must represent the most informative features in t...
Lightness, or perceived reflectance of a surface, is influenced by surrounding context. This is demo...
(a) Left: Original occlusions. Middle: Averaging the pixel intensities on each side of the occlusion...
AbstractIn many models of edge analysis in biological vision, the initial stage is a linear 2nd deri...
(a) GFB model. An image patch is analyzed by a bank of 72 oriented log-Gabor filters covering 3 spat...
In this study, we measured blur discrimination threshold at different blur levels. We found that the...
This thesis presents a study of how edges are detected and encoded by the human visual system. The s...
International audienceTo achieve the best image quality, noise and artifacts are generally removed a...
Observer sensitivity to edge blur has been examined by experimental measurements of threshold blur a...
To make vision possible, the visual nervous system must represent the most informative features in t...
Perceived blur is an important measure of image quality and clinical visual function. The magnitude ...
To make vision possible, the visual nervous system must represent the most informative features in t...
Adapting to blurred or sharpened images alters perceived blur of a focused image (M. A. Webster, M. ...
<p><b>a,</b> Probability distribution of the 512 possible 3×3 1-bit pixel patterns (grey histogram)....
Influential models of edge detection have generally supposed that an edge is detected at peaks in th...
To make vision possible, the visual nervous system must represent the most informative features in t...
Lightness, or perceived reflectance of a surface, is influenced by surrounding context. This is demo...