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

doi:10.1109/PCS.2009.5167436

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

Electrical and Computer Engineering

Research output: Chapter in Book/Report/Conference proceeding › Conference 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 language	English
Title of host publication	2009 Picture Coding Symposium, PCS 2009
DOIs	https://doi.org/10.1109/PCS.2009.5167436
State	Published - 2009
Event	2009 Picture Coding Symposium, PCS 2009 - Chicago, IL, United States Duration: May 6 2009 → May 8 2009

Publication series

Name	2009 Picture Coding Symposium, PCS 2009

Conference

Conference	2009 Picture Coding Symposium, PCS 2009
Country	United States
City	Chicago, IL
Period	05/6/09 → 05/8/09

Keywords

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

Access to Document

10.1109/PCS.2009.5167436

Link to publication in Scopus

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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

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

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.",

keywords = "Line-based BCWT, Low complexity, Progressive-of-resolution decoding, ROI, Ultra high resolution images",

author = "Jiangling Guo and Bryan Hughes and Sunanda Mitra and Brian Nutter",

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doi = "10.1109/PCS.2009.5167436",

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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, 2009 Picture Coding Symposium, PCS 2009, Chicago, IL, United States, 05/6/09. https://doi.org/10.1109/PCS.2009.5167436

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AU - Guo, Jiangling

AU - Hughes, Bryan

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