Stochastic sampling from image coder induced probability distributions

Onur G. Guleryuz, Viresh Ratnakar, Regunathan Radhakrishnan, Nasir Memon

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

Abstract

In this paper we use stochastic sampling to obtain images from the probability distributions induced by well-known image coders SPIHT, JPEG, JPEG2000, and JPEG-LS. Our aim is to obtain actual samples from the typical sets that these coders form in the space of images. We utilize mathematical measures that allow us to quantify the role edges play in representing the resulting sample images. We qualitatively and quantitatively compare these images with a basic form of natural image definition as well as with the standard test images Lenna and Barbara. Our results indicate that today's state-of-the-art image coders are applicable to a variety of localized image regions but they do not significantly model or take advantage of edges that mark the boundaries of different regions.

Original languageEnglish (US)
Title of host publicationConference Record of the Asilomar Conference on Signals, Systems and Computers
EditorsM.B. Matthews
Pages1562-1566
Number of pages5
Volume2
StatePublished - 2003
EventConference Record of the Thirty-Seventh Asilomar Conference on Signals, Systems and Computers - Pacific Grove, CA, United States
Duration: Nov 9 2003Nov 12 2003

Other

OtherConference Record of the Thirty-Seventh Asilomar Conference on Signals, Systems and Computers
CountryUnited States
CityPacific Grove, CA
Period11/9/0311/12/03

ASJC Scopus subject areas

  • Electrical and Electronic Engineering
  • Signal Processing
  • Hardware and Architecture

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