Back to articles
Special Section: Color Imaging: Science, Systems, and Applications: Selected Papers from the Third IS&T/SID Color Imaging Conference, November 7–10, 1995, Scottsdale, Arizona
Volume: 40 | Article ID: art00005
Image
Color Image Quantization and Dithering Method Based on Human Visual System Characteristics
  DOI :  10.2352/J.ImagingSci.Technol.1996.40.6.art00005  Published OnlineNovember 1996
Abstract

New methods for both color palette design and dithering based on human visual system (HVS) characteristics are proposed. Color quantization for palette design uses the relative visual sensitivity and spatial masking effect of HVS. The dithering operation for printing uses nonlinear quantization, which considers the overlapping phenomena among neighbor printing dots, and then a modified dot-diffusion algorithm is followed to compensate the degradation produced in the quantization process. The proposed techniques can produce high-quality images in low-bit color devices.

Subject Areas :
Views 6
Downloads 0
 articleview.views 6
 articleview.downloads 0
  Cite this article 

Kyeong Man Kim, Chae Soo Lee, Eung Joo Lee, Yeong Ho Ha, "Color Image Quantization and Dithering Method Based on Human Visual System Characteristicsin Journal of Imaging Science and Technology,  1996,  pp 502 - 509,  https://doi.org/10.2352/J.ImagingSci.Technol.1996.40.6.art00005

 Copy citation
  Copyright statement 
Copyright © Society for Imaging Science and Technology 1996
  Login or subscribe to view the content