Region-based wavelet transform for image compression

Jong Han Kim, Jae Yong Lee, Eui Sung Kang, Sung Jea Ko

Research output: Contribution to journalArticlepeer-review

4 Citations (Scopus)


-Wavelet transform is not applicable to the arbitrarily shaped region (or object) in images, due to the nature of its global decomposition. In order to solve this problem, the region-based wavelet transform (RWT) is proposed and its computational complexity is examined in this brief. It is shown that the RWT requires significantly fewer computations than conventional wavelet transform, since the RWT processes only the object region in the original image. Experimental results show that any arbitrarily shaped region in images can be decomposed using the RWT and perfectly reconstructed using the inverse RWT. Furthermore, the RWT outperforms the shape-adaptive wavelet transform (SAWT) in PSNR at the same compression ratio since the former generates less high-frequency information.

Original languageEnglish
Pages (from-to)1137-1140
Number of pages4
JournalIEEE Transactions on Circuits and Systems II: Analog and Digital Signal Processing
Issue number8
Publication statusPublished - 1998

ASJC Scopus subject areas

  • Signal Processing
  • Electrical and Electronic Engineering


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