@inproceedings{9e3fb3c21e294dd08e656f9789edc48f,
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",
year = "2009",
doi = "10.1109/PCS.2009.5167436",
language = "English",
isbn = "9781424445943",
series = "2009 Picture Coding Symposium, PCS 2009",
booktitle = "2009 Picture Coding Symposium, PCS 2009",
note = "null ; Conference date: 06-05-2009 Through 08-05-2009",
}