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Related Concept Videos

Perceptual Constancy01:12

Perceptual Constancy

Perceptual constancy is the ability to recognize that objects remain consistent and unchanged even when their appearance varies due to changes in sensory input. There are four main types of perceptual constancy: size constancy, shape constancy, color constancy, and brightness constancy.
Size constancy is the recognition that an object remains the same size, even when its image on the retina changes. For instance, a bus is perceived to be large enough to carry people, even if it looks tiny from...
Depth Perception and Spatial Vision01:15

Depth Perception and Spatial Vision

Depth perception is the ability to perceive objects three-dimensionally. It relies on two types of cues: binocular and monocular. Binocular cues depend on the combination of images from both eyes and how the eyes work together. Since the eyes are in slightly different positions, each eye captures a slightly different image. This disparity between images, known as binocular disparity, helps the brain interpret depth. When the brain compares these images, it determines the distance to an object.
Light Acquisition02:16

Light Acquisition

In order to produce glucose, plants need to capture sufficient light energy. Many modern plants have evolved leaves specialized for light acquisition. Leaves can be only millimeters in width or tens of meters wide, depending on the environment. Due to competition for sunlight, evolution has driven the evolution of increasingly larger leaves and taller plants, to avoid shading by their neighbors with contaminant elaboration of root architecture and mechanisms to transport water and nutrients.
Photoreceptors and Visual Pathways01:22

Photoreceptors and Visual Pathways

At the molecular level, visual signals trigger transformations in photopigment molecules, resulting in changes in the photoreceptor cell's membrane potential. The photon's energy level is denoted by its wavelength, with each specific wavelength of visible light associated with a distinct color. The spectral range of visible light, classified as electromagnetic radiation, spans from 380 to 720 nm. Electromagnetic radiation wavelengths exceeding 720 nm fall under the infrared category, whereas...
Difference from Background: Limit of Detection01:05

Difference from Background: Limit of Detection

The limit of detection (LOD) is the smallest amount of analyte that can be distinguished from the background noise. The LOD value corresponds to the concentration at which the analyte signal is three times larger than the standard deviation of the blank signal. Below this value, the analyte signal cannot be differentiated from the background noise. It is calculated by dividing the calibration slope by 3 times the standard deviation of the blank signals.
The LOD indicates the presence or absence...
Factors Affecting Perception01:25

Factors Affecting Perception

Perception is influenced by perceptual set, context, motivation, and emotion. Perceptual set, or perceptual expectancy, refers to the tendency to perceive things in a particular way, influenced by previous experiences and expectations. This phenomenon affects the interpretation of stimuli, creating a set of mental tendencies and assumptions that impact sensory perceptions of sound, taste, touch, and sight.
An illustrative example of a perceptual set is the scenario where an airline pilot told...

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Related Experiment Video

Updated: May 25, 2026

Measuring Spatially- and Directionally-varying Light Scattering from Biological Material
11:57

Measuring Spatially- and Directionally-varying Light Scattering from Biological Material

Published on: May 20, 2013

Lightness perception in high dynamic range images: local and remote luminance effects.

Sarah R Allred1, Ana Radonjic, Alan L Gilchrist

  • 1Department of Psychology, Rutgers, The State University of New Jersey, Camden, NJ, USA. srallred@camden.rutgers.edu

Journal of Vision
|February 11, 2012
PubMed
Summary

Visual perception of lightness depends on surrounding context. This study reveals that a three-parameter adaptation model, including the target patch, best explains how surrounding luminance affects perceived lightness.

More Related Videos

Visualizing Visual Adaptation
04:43

Visualizing Visual Adaptation

Published on: April 24, 2017

Related Experiment Videos

Last Updated: May 25, 2026

Measuring Spatially- and Directionally-varying Light Scattering from Biological Material
11:57

Measuring Spatially- and Directionally-varying Light Scattering from Biological Material

Published on: May 20, 2013

Visualizing Visual Adaptation
04:43

Visualizing Visual Adaptation

Published on: April 24, 2017

Area of Science:

  • Visual perception
  • Computational neuroscience
  • Color science

Background:

  • Perceived lightness is influenced by the luminance of surrounding visual elements.
  • Previous models of adaptation have focused on multiplicative gain and subtractive adaptation.

Purpose of the Study:

  • To quantify the relationship between surrounding luminance and perceived lightness.
  • To develop an improved model of visual adaptation that accounts for contextual effects.

Main Methods:

  • Measured perceived lightness of target patches within high dynamic range checkerboards.
  • Independently varied luminance of local and remote surrounding checks.
  • Developed and tested a three-parameter adaptation model.

Main Results:

  • Context transfer functions (CTFs) were established, showing luminance matches vary with context.
  • Simple multiplicative or additive adaptation models did not fully describe the data.
  • A three-parameter model, incorporating local and remote contrasts and an interaction term, provided a good fit.
  • The target patch's luminance was found to be crucial for describing visual context.

Conclusions:

  • Perceived lightness is modulated by both local and remote visual context.
  • A more complex adaptation model is needed to fully explain contextual influences on lightness perception.
  • The target patch itself should be considered part of the visual context for accurate modeling.