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Related Concept Videos

Color Vision01:24

Color Vision

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Color perception begins in the retina, the light-sensitive layer at the back of the eye. Two main theories explain how colors are seen: the trichromatic theory and the opponent-process theory. The trichromatic theory, proposed by Thomas Young in 1802 and extended by Hermann von Helmholtz in 1852, suggests that color vision is based on three types of cone receptors in the retina. These cones are sensitive to different but overlapping ranges of wavelengths corresponding to red, blue, and green.
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Perceptual Constancy01:12

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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.
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Accurate calibration of glassware, such as volumetric flasks, pipettes, and burettes, is essential to ensure accurate measurements in the analytical laboratory. Calibration helps maintain consistency across measurements and prevents errors arising from inaccurate volumes.
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A calibration curve is a plot of the instrument's response against a series of known concentrations of a substance. This curve is used to set the instrument response levels, using the substance and its concentrations as standards. Alternatively, or additionally, an equation is fitted to the calibration curve plot and subsequently used to calculate the unknown concentrations of other samples reliably.
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Electrochemistry is the science involved in the interconversion of electrical and chemical reactions. Such reactions are called reduction-oxidation, or redox reactions. These important reactions are defined by changes in oxidation states for one or more reactant elements and include a subset of reactions involving the transfer of electrons between reactant species. Electrochemistry as a field has evolved to yield sufficient insights on the fundamental principles of redox chemistry and multiple...
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Three-Color Balancing for Color Constancy Correction.

Teruaki Akazawa1, Yuma Kinoshita1, Sayaka Shiota1

  • 1Department of Computer Science, Tokyo Metropolitan University, 6-6 Asahigaoka, Tokyo 191-0065, Japan.

Journal of Imaging
|October 22, 2021
PubMed
Summary
This summary is machine-generated.

This study introduces three-color balancing for improved image color constancy. This method achieves results comparable to complex multi-color balancing techniques with simpler calculations.

Keywords:
color constancycolor correctioncolor distortioncolor image processingwhite balance adjustment

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Area of Science:

  • Computer Vision
  • Image Processing
  • Color Science

Background:

  • White balancing is a standard method for color constancy but has limitations with non-white colors.
  • Existing multi-color balancing methods improve performance but face challenges in selecting target colors and managing computational complexity.

Purpose of the Study:

  • To propose a simplified multi-color balancing method, specifically three-color balancing, that overcomes the limitations of existing approaches.
  • To investigate the optimal number and selection of target colors for effective color constancy correction.
  • To reduce computational complexity while maintaining or improving color constancy performance.

Main Methods:

  • The study analyzes the impact of the number of target colors on multi-color balancing performance.
  • It proposes a three-color balancing technique that eliminates the need for error minimization.
  • The optimal combination of three target colors for color constancy is investigated.

Main Results:

  • Multi-color balancing performance plateaus when three or more target colors are used and surpasses standard white balancing.
  • The proposed three-color balancing method achieves comparable results to methods using 24 target colors.
  • The three-color balancing method demonstrates effective color constancy correction without complex error minimization.

Conclusions:

  • Three-color balancing offers an efficient and effective solution for color constancy correction in images.
  • The proposed method provides a practical alternative to more computationally intensive techniques.
  • This approach simplifies the process of achieving accurate color reproduction under varying lighting conditions.