Adaptive wavelet regularity scalable image coding

Yuk Fan Ho, Tai Chiu Hsung, Pak Kong Lun

Research output: Journal article publicationConference articleAcademic researchpeer-review

Abstract

An adaptive regularity scalable wavelet image coding algorithm is proposed in this paper. The bitstream is generated in the order of regularity such that visually more important components of a decoded image can be obtained first, followed by the higher regularity components as more bits are received and decoded. The scalability is achieved by selecting different extents of wavelet coefficients at various regularity levels. These regularity levels are determined adaptively. Regularity of the image is estimated from the interscale ratios of the separable wavelet transform magnitude sums. Compared to the wavelet image coder generating resolution scalable bitstreams, significant improvement in visual quality and PSNR can be achieved.
Original languageEnglish
JournalICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings
Volume4
Publication statusPublished - 11 Jul 2002
Event2002 IEEE International Conference on Acoustic, Speech, and Signal Processing - Orlando, FL, United States
Duration: 13 May 200217 May 2002

ASJC Scopus subject areas

  • Electrical and Electronic Engineering
  • Signal Processing
  • Acoustics and Ultrasonics

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