Natural viewing challenges the visual system with images that have a dynamic range of light intensity (luminance) that can approach 1,000,000:1 and that often exceeds 10,000:1 [1, 2]. The range of perceived surface reflectance (lightness), however, can be well approximated by the Mun-sell matte neutral scale (N 2.0 / to N 9.5/), consisting of surfaces whose reflectance varies by about 30:1. Thus, the visual system must map a large range of surface luminance onto a much smaller range of surface lightness. We measured this mapping in images with a dynamic range close to that of natural images. We studied simple images that lacked segmentation cues that would indicate multiple regions of illumination. We found a remarkable degree of compressio...
Lightness algorithms, which have been proposed as a model for human vision, are aimed at recovering ...
System gamma is the end-to-end exponent that describes the relationship between the relative luminan...
The variable resolution and limited processing capacity of the human visual system requires us to sa...
SummaryNatural viewing challenges the visual system with images that have a dynamic range of light i...
SummaryHow the visual system detects surface reflectance — lightness — has puzzled researchers for c...
Comunicació presentada al IS&T International Symposium on Electronic Imaging, celebrat del 14 al 18 ...
An anchoring theory of lightness perception by Gilchrist et al. [1999] explains many characteristic...
International audienceThe human visual system (HVS) non-linearly processes light from the real world...
This article develops a neural model of how the visual system processes natural images under variabl...
The light reflected from an object depends on its reflectance, the illumination, and the pose of the...
This study develops a neuromorphic model of human lightness perception that is inspired by how the m...
When judging the lightness of objects, the visual system has to take into account many factors such ...
We develop a new approach to inferring lightness, the perceived reflectance of surfaces, from a sing...
A remarkable property of the hwnan visual system is that it manages to compress a 10-decade luminanc...
Abstract—Reliable edge detection is of utmost importance to many sophisticated computer vision metho...
Lightness algorithms, which have been proposed as a model for human vision, are aimed at recovering ...
System gamma is the end-to-end exponent that describes the relationship between the relative luminan...
The variable resolution and limited processing capacity of the human visual system requires us to sa...
SummaryNatural viewing challenges the visual system with images that have a dynamic range of light i...
SummaryHow the visual system detects surface reflectance — lightness — has puzzled researchers for c...
Comunicació presentada al IS&T International Symposium on Electronic Imaging, celebrat del 14 al 18 ...
An anchoring theory of lightness perception by Gilchrist et al. [1999] explains many characteristic...
International audienceThe human visual system (HVS) non-linearly processes light from the real world...
This article develops a neural model of how the visual system processes natural images under variabl...
The light reflected from an object depends on its reflectance, the illumination, and the pose of the...
This study develops a neuromorphic model of human lightness perception that is inspired by how the m...
When judging the lightness of objects, the visual system has to take into account many factors such ...
We develop a new approach to inferring lightness, the perceived reflectance of surfaces, from a sing...
A remarkable property of the hwnan visual system is that it manages to compress a 10-decade luminanc...
Abstract—Reliable edge detection is of utmost importance to many sophisticated computer vision metho...
Lightness algorithms, which have been proposed as a model for human vision, are aimed at recovering ...
System gamma is the end-to-end exponent that describes the relationship between the relative luminan...
The variable resolution and limited processing capacity of the human visual system requires us to sa...