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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.
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Color Vision

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Related Experiment Video

Updated: Jul 7, 2026

Enabling High Grayscale Resolution Displays and Accurate Response Time Measurements on Conventional Computers
06:50

Enabling High Grayscale Resolution Displays and Accurate Response Time Measurements on Conventional Computers

Published on: February 29, 2012

JPEG-compliant perceptual coding for a grayscale image printing pipeline.

R A Vander Kam1, P W Wong, R M Gray

  • 1Polycom Inc., San Jose, CA 95134, USA. rvanderkam@polycom.com

IEEE Transactions on Image Processing : a Publication of the IEEE Signal Processing Society
|February 12, 2008
PubMed
Summary

This study presents a customized Joint Photographic Experts Group (JPEG) compression method for grayscale images. The technique optimizes JPEG tables for scaling and halftoning, significantly reducing artifacts and improving image quality at lower bit rates.

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Area of Science:

  • Digital Image Processing
  • Computer Vision
  • Information Theory

Background:

  • Joint Photographic Experts Group (JPEG) compression is widely used for image compression.
  • Standard JPEG compression may introduce artifacts, especially when images are scaled, halftoned, and printed.
  • Optimizing compression for specific image processing pipelines can improve visual quality and efficiency.

Purpose of the Study:

  • To develop a customized JPEG compression procedure for grayscale images.
  • To maintain compatibility with the existing JPEG standard while enhancing performance.
  • To reduce compression artifacts and improve visual quality in scaled, halftoned, and printed images.

Main Methods:

  • Designed JPEG quantization tables using frequency-domain characteristics of scaling and halftoning.
  • Incorporated human visual system's frequency sensitivity into table design.
  • Optimized Huffman tables for low-rate coding.
  • Developed an iterative procedure to account for scaling and halftoning effects.

Main Results:

  • Achieved significant reduction in compression artifacts by masking them with halftoning patterns.
  • Pushed artifacts into frequency bands less sensitive to human vision.
  • Maintained near visually lossless image quality at rates below 0.5 bits per pixel.
  • Demonstrated at least 20% better performance compared to standard JPEG encoders.

Conclusions:

  • The customized JPEG compression method is compatible with all scaling and halftoning techniques.
  • The approach significantly enhances image quality and compression efficiency for print workflows.
  • This method offers a substantial improvement over standard JPEG compression for specific applications.