Go to the NASA Homepage
Search >
Click to Search
Human Systems Integration Division homepageHuman Systems Integration Division homepage Organization pageOrganization page Technical Areas pageTechnical Areas page Outreach and Publications pageOutreach and Publications page Contact pageContact page
Human Systems Integration Division Homepage
Outreach & Publications Sidebar Header
Go to the Outreach & Publications pageGo to the Outreach & Publications page
Go to Awards pageGo to Awards page
Go to News pageGo to News page
Go to Factsheets pageGo to Factsheets page
Go to Multimedia pageGo to Multimedia page
Go to Human Factors 101 pageGo to Human Factors 101 page
What is Human System Integration? Website
Publication Header
Vision-based Approaches to Digital Halftoning  (2002)
Abstract Header
One way to describe the problem of digital half toning is as a search for the quantized image that minimizes the visibility of artifacts. To apply this approach in practice, it is first to specify a computational model for computing visible error that can be used to rank candidate images automatically. The model may be incorporated directly into a search algorithm, or used after-the-fact to rank images produced by algorithms that are more heuristic. These approaches have been quite successful when applied to achromatic images, even when using a relatively simple visual model accounting for high-frequency contrast sensitivity but with no masking. This approach can be directly generalized to additional dimensions such as time and color. Visual models based on threshold measures may not be optimal for low bit rate conditions where quantization noise is visible. Instead, the degree to which the noise is effortlessly segmented through perceptual scission may influence the utility of the final image.
Private Investigators Header
Authors Header
Groups Header
Keywords Header
Approaches, Digital, Halftoning, Vision-based
References Header
Proc. 55th Annual Conference of the Society for Imaging Science and Technology, Portland OR, pp. 1-4
Download Header
Adobe PDF Icon  mulligan_pics02_jbm.pdf (Download Acrobat Reader Click to download Adobe Acrabat Reader)
  (42KB) (application/pdf)
Go to the First Gov Homepage
Go to the NASA - National Aeronautics and Space Administration Homepage
Curator: Phil So
NASA Official: Alonso Vera
Last Updated: August 15, 2019