Arbitrarily shaped image coding by using translation invariant wavelet transforms

Bing Fei Wu, Chorng Yann Su

Research output: Contribution to journalArticlepeer-review

2 Citations (Scopus)


This study presents two sets of translation invariant wavelet transforms for coding an arbitrarily shaped image. Each set can be viewed as a shape-adaptive discrete wavelet transform (SA-DWT) with the property of translation invariance. The proposed transform schemes have the following merits: (1) they are translation invariant, (2) no sharp transition appears at the edges of the image, (3) the number of pixels is maintained constant after transformation, (4) the correlation of pixels is fully exploited, and (5) the property of self-similarity across scales is preserved.

Original languageEnglish
Pages (from-to)309-314
Number of pages6
JournalSignal Processing
Issue number3
Publication statusPublished - 1999 Dec
Externally publishedYes

ASJC Scopus subject areas

  • Control and Systems Engineering
  • Software
  • Signal Processing
  • Computer Vision and Pattern Recognition
  • Electrical and Electronic Engineering


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