Scalable wavelet coding for synthetic/natural hybrid images

Author

Sodagar, Iraj ; Lee, Hung-Ju ; Hatrack, Paul ; Zhang, Ya-Qin

Author_Institution

Multimedia Technol. Lab., Sarnoff Corp., Princeton, NJ, USA

Volume

9

Issue

2

fYear

1999

fDate

3/1/1999 12:00:00 AM

Firstpage

244

Lastpage

254

Abstract

This paper describes the texture representation scheme adopted for MPEG-4 synthetic/natural hybrid coding (SNHC) of texture maps and images. The scheme is based on the concept of multiscale zerotree wavelet entropy (MZTE) coding technique, which provides many levels of scalability layers in terms of either spatial resolutions or picture quality, MZTE, with three different modes (single-Q, multi-Q, and bilevel), provides much improved compression efficiency and fine-gradual scalabilities, which are ideal for hybrid coding of texture maps and natural images. The MZTE scheme is adopted as the baseline technique for the visual texture coding profile in both the MPEG-4 video group and SNHC group. The test results are presented in comparison with those coded by the baseline JPEG scheme for different types of input images, MZTE was also rated as one of the top five schemes in terms of compression efficiency in the JPEG2000 November 1997 evaluation, among 27 submitted proposals

Keywords

code standards; data compression; image coding; image representation; image resolution; image texture; telecommunication standards; transform coding; wavelet transforms; MPEG-4; baseline JPEG scheme; compression efficiency; image coding; input images; multiscale zerotree wavelet entropy coding; picture quality; scalability layers; scalable wavelet coding; spatial resolutions; synthetic/natural hybrid coding; synthetic/natural hybrid images; test results; texture maps; texture representation; visual texture coding profile; Decoding; Entropy; Image coding; Image segmentation; Laboratories; MPEG 4 Standard; Scalability; Spatial resolution; Transform coding; Video compression;

fLanguage

English

Journal_Title

Circuits and Systems for Video Technology, IEEE Transactions on

Publisher

ieee

ISSN

1051-8215

Type

jour

DOI

10.1109/76.752092

Filename

752092