A perceptually based adaptive sampling algorithm

Mark R. Bolin, Gary W. Meyer

Research output: Chapter in Book/Report/Conference proceedingConference contribution

11 Scopus citations

Abstract

A perceptually based approach for selecting image samples has been developed. An existing image processing vision model has been extended to handle color and has been simplified to run efficiently. The resulting new image quality model was inserted into an image synthesis program by first modifying the rendering algorithm so that it computed a wavelet representation. In addition to allowing image quality to be determined as the image was generated, the wavelet representation made it possible to use statistical information about the spatial frequency distribution of natural images to estimate values where samples were yet to be taken. Tests on the image synthesis algorithm showed that it correctly handled achromatic and chromatic spatial detail and that it was able predict and compensate for masking effects. The program was also shown to produce images of equivalent visual quality while using different rendering techniques.

Original languageEnglish (US)
Title of host publicationProceedings of the 25th Annual Conference on Computer Graphics and Interactive Techniques, SIGGRAPH 1998
PublisherAssociation for Computing Machinery
Pages299-310
Number of pages12
DOIs
StatePublished - Jan 1 1998
Event25th Annual Conference on Computer Graphics and Interactive Techniques, SIGGRAPH 1998 - Orlando, FL, United States
Duration: Jul 19 1998Jul 24 1998

Other

Other25th Annual Conference on Computer Graphics and Interactive Techniques, SIGGRAPH 1998
CountryUnited States
CityOrlando, FL
Period7/19/987/24/98

Keywords

  • Adaptive Sampling
  • Masking
  • Perception
  • Vision Models

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