Wavelet compression through Wavelet Stieltjes transform

Mo Hong Chou, En Bing Lin

Research output: Contribution to journalConference articlepeer-review

1 Scopus citations


A new wavelet transform is introduced for analyzing image compression and signal processing. We introduce Wavelet Stieltjes transform (WST) which provides a unified framework to analyze both continuous and discrete signals. Some properties of WST are summarized. Moreover, we obtain multiresolution analysis and encode WST coefficients for Wavelet Stieltjes transform. It is shown that one can distinguish images or signals by Wavelet Stieltjes transform methods while they are not discriminated by regular wavelet transform. Theory for regular wavelet transform may be extended to Wavelet Stieltjes transform.

Original languageEnglish
Pages (from-to)254-264
Number of pages11
JournalProceedings of SPIE - The International Society for Optical Engineering
StatePublished - Nov 1 1993
EventMathematical Imaging: Wavelet Applications in Signal and Image Processing 1993 - San Diego, United States
Duration: Jul 11 1993Jul 16 1993


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