Ultra high resolution image coding and roi viewing using line-based backward coding of wavelet trees (1-BCWT)

Jiangling Guo, Bryan Hughes, Sunanda Mitra, Brian Nutter

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

3 Scopus citations

Abstract

Viewing high quality regions of interest (ROI) from compressed bit streams of high resolution images is a desirable but extremely challenging goal. Current image formats used for such viewing commonly use tile based compression and suffer from tile-boundary artifacts. They also have a larger memory requirement because they maintain redundant scaled-down versions of the original image to provide progressive-of-resolution capabilities. We present here a novel codec based on line-based backward coding of wavelet trees (1-BCWT) that has been specifically designed to address these difficulties. With L-BCWT, only a fraction of the compressed image data is in memory at any given time while providing ROI and progressive-of-resolution capabilities. The performance of L-BCWT is demonstrated with histology images on the order of billions of pixels or multi-gigabytes of raw data.

Original languageEnglish
Title of host publication2009 Picture Coding Symposium, PCS 2009
DOIs
StatePublished - 2009
Event2009 Picture Coding Symposium, PCS 2009 - Chicago, IL, United States
Duration: May 6 2009May 8 2009

Publication series

Name2009 Picture Coding Symposium, PCS 2009

Conference

Conference2009 Picture Coding Symposium, PCS 2009
CountryUnited States
CityChicago, IL
Period05/6/0905/8/09

Keywords

  • Line-based BCWT
  • Low complexity
  • Progressive-of-resolution decoding
  • ROI
  • Ultra high resolution images

Fingerprint Dive into the research topics of 'Ultra high resolution image coding and roi viewing using line-based backward coding of wavelet trees (1-BCWT)'. Together they form a unique fingerprint.

  • Cite this

    Guo, J., Hughes, B., Mitra, S., & Nutter, B. (2009). Ultra high resolution image coding and roi viewing using line-based backward coding of wavelet trees (1-BCWT). In 2009 Picture Coding Symposium, PCS 2009 [5167436] (2009 Picture Coding Symposium, PCS 2009). https://doi.org/10.1109/PCS.2009.5167436