Random access region of interest in backward coding of wavelet trees

Enrique Corona, Jiangling Guo, Sunanda Mitra, Brian Nutter, Tanja Karp

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

1 Scopus citations

Abstract

Random access to high quality regions of interest (ROI) from compressed bit streams of large images is becoming a necessary feature in many applications, particularly in viewing important areas within larger images. We have developed a completely new multi-rate image subband coding scheme using backward coding of wavelet trees (BCWT), which is fast, memory-efficient and resolution-scalable, while offering much less complexity than many other codecs, including block-based ones, e.g. JPEG2000. Although the focus of this paper is the inclusion of random access ROI decoding capabilities in BCWT, the method can also be modified in order to accommodate conventional ROI schemes in which the selected region is decoded with higher fidelity than the rest of the image. Experimental results compare the original BCWT bitstream size against that of the resulting ROI.

Original languageEnglish
Title of host publication2007 IEEE Information Theory Workshop, ITW 2007, Proceedings
Pages656-661
Number of pages6
DOIs
StatePublished - 2007
Event2007 IEEE Information Theory Workshop, ITW 2007 - Lake Tahoe, CA, United States
Duration: Sep 2 2007Sep 6 2007

Publication series

Name2007 IEEE Information Theory Workshop, ITW 2007, Proceedings

Conference

Conference2007 IEEE Information Theory Workshop, ITW 2007
CountryUnited States
CityLake Tahoe, CA
Period09/2/0709/6/07

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