Automatic-target-recognition-assisted image coding

Lei Ma, Min Ahn Q Vong, Glen P. Abousleman, Jennie Si

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


In this paper, we present an intelligent image compression system whereby regions of interest (ROI) and background information are coded independently of each other. We apply less compression (more bits) to regions of interest (targets), and more compression (fewer bits) to background data. This methodology preserves relevant features of targets for further analysis, and preserves the background only to the extent of providing contextual information. The resulting system dramatically reduces the bandwidth/storage requirements of the digital imagery, while preserving the target-specific utility of the imagery.

Original languageEnglish (US)
Title of host publicationProceedings of SPIE - The International Society for Optical Engineering
EditorsF.A. Sadjadi
Number of pages11
StatePublished - 2002
EventAutomatic Target Recognition XII - Orlando, FL, United States
Duration: Apr 2 2002Apr 4 2002


OtherAutomatic Target Recognition XII
Country/TerritoryUnited States
CityOrlando, FL


  • Image coding
  • Intelligent compression
  • Target recognition

ASJC Scopus subject areas

  • Electrical and Electronic Engineering
  • Condensed Matter Physics


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