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Related Concept Videos

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.
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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.
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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...
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Gestalt principles provide a framework for understanding how humans perceive objects as unified wholes within their context. These principles are essential in explaining the cognitive processes that make sense of complex visual stimuli by organizing them into coherent groups. One fundamental principle is proximity, which posits that objects located close to each other are perceived as a collective group. For instance, when dots are positioned near one another, the visual system interprets them...
Histogram01:05

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The histogram is a graphical representation in the x-y form of data distribution in a data set. The horizontal x-axis is labeled with what the data represents (for instance, distance from your home to school). The vertical y-axis is labeled either frequency or relative frequency (or percent frequency or probability).
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The color of the skin is influenced by a number of pigments, including melanin, carotene, and hemoglobin. Recall that melanin is produced by cells called melanocytes, which are found scattered throughout the stratum basale of the epidermis. The melanin is transferred to the keratinocytes via melanosomes.
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Perceptual color image coding with JPEG2000.

D M Tan1, C S Tan, H R Wu

  • 1School of Electrical and Computer Engineering,Royal Melbourne Institute of Technology, Australia. damian.tan@rmit.edu.au

IEEE Transactions on Image Processing : a Publication of the IEEE Signal Processing Society
|January 20, 2010
PubMed
Summary
This summary is machine-generated.

A new perceptual color image coder (PCIC) optimizes image quality by using a vision model. This method significantly improves visual fidelity at lower bitrates compared to standard JPEG2000 coders.

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Area of Science:

  • Digital image processing
  • Computer vision
  • Image compression

Background:

  • JPEG2000 is a standard for image compression.
  • Existing distortion metrics like MSE and Cvis do not fully capture human visual perception.
  • Color image coding requires advanced methods to maintain visual quality.

Purpose of the Study:

  • To introduce a perceptual color image coder (PCIC) for the YCbCr color space.
  • To enhance visual quality in coded images using a vision model-based perceptual distortion metric (PDM).
  • To optimize rate-distortion (R-D) performance for superior image compression.

Main Methods:

  • Developed a PCIC within the JPEG2000 framework.
  • Extended a monochromatic multichannel vision model for color image coding.
  • Employed a PDM for R-D optimization, approximating perceived error.
  • Conducted subjective tests with 30 viewers for quality assessment.

Main Results:

  • The PCIC demonstrated superior picture quality at low to intermediate bitrates.
  • Performance was compared against JPEG2000 coders using MSE and Cvis distortion measures.
  • The PDM effectively approximated perceived error for better visual quality.

Conclusions:

  • The PCIC offers enhanced visual quality for color image compression.
  • Vision model-based distortion metrics are crucial for perceptually optimized coding.
  • The proposed method outperforms traditional metrics in subjective evaluations.