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Color Vision01:24

Color Vision

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.
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...
Phase Contrast and Differential Interference Contrast Microscopy01:26

Phase Contrast and Differential Interference Contrast Microscopy

Phase-Contrast Microscopes
In-phase-contrast microscopes, interference between light directly passing through a cell and light refracted by cellular components is used to create high-contrast, high-resolution images without staining. It is the oldest and simplest type of microscope that creates an image by altering the wavelengths of light rays passing through the specimen. Altered wavelength paths are created using an annular stop in the condenser. The annular stop produces a hollow cone of...
Biasing of P-N Junction01:16

Biasing of P-N Junction

The operation of a p-n junction diode involves various biasing conditions, including forward bias, reverse bias, and equilibrium.
In equilibrium, no external voltage is applied across the p-n junction. The depletion region is formed at the junction interface due to the diffusion of carriers, which leaves behind charged dopants, acceptors on the p-side, and donors on the n-side. These immobile charges create an electric field that prevents further diffusion of carriers. The related energy band...

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Related Experiment Video

Updated: Jun 20, 2026

An Electrochemical Cholesteric Liquid Crystalline Device for Quick and Low-Voltage Color Modulation
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White-light pseudocolor density encoding through contrast reversal.

T H Chao1, S L Zhuang, F T Yu

  • 1Electrical and Computer Engineering Department, Wayne State University, Detroit, Michigan 48202, USA.

Optics Letters
|August 21, 2009
PubMed
Summary
This summary is machine-generated.

This study introduces a simple, economical white-light processing technique for pseudocolor density encoding of photographic images. It eliminates coherent artifact noise and preserves image resolution by utilizing the entire Fourier spectrum.

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Area of Science:

  • Optics
  • Image Processing
  • Photonics

Background:

  • Traditional pseudocolor encoding often relies on coherent light sources, leading to artifact noise.
  • Achieving high-resolution pseudocoloring can be challenging with existing methods.

Purpose of the Study:

  • To present a novel, simple, and economical white-light processing technique for pseudocolor density encoding.
  • To demonstrate the elimination of coherent artifact noise in image processing.
  • To showcase a method that preserves image resolution during pseudocoloring.

Main Methods:

  • Utilizing white-light processing for pseudocolor density encoding.
  • Employing spatial encoding through positive and negative photographic transparencies.
  • Performing pseudocoloring via color filtering of smeared Fourier spectra.

Main Results:

  • The developed technique is simple, versatile, and cost-effective.
  • Elimination of coherent artifact noise due to the absence of coherent sources.
  • No apparent loss of image resolution as the entire Fourier spectrum is used.

Conclusions:

  • This white-light processing method offers a practical approach to pseudocolor density encoding.
  • The technique provides high-quality pseudocolored images without resolution loss or artifact noise.
  • It represents a significant advancement in economical and efficient image processing.