Time-varying wavelet transforms with lifting steps for lossless image compression

Masahiro Okuda, Sanjit K. Mitra, Masaaki Ikehara, Shin ichi Takahashi

Research output: Contribution to conferencePaperpeer-review

3 Citations (Scopus)


Most natural images are well modeled as smoothed areas segmented by edges. The smooth areas can be well represented by a wavelet transform with high regularity and with fewer coefficients which requires high-pass filters with some vanishing moments. However for the regions around edges, short highpass filters are preferable. In one recently proposed approach, this problem was solved by switching filter banks using longer filters for smoothed areas of the images and shorter filters for areas with edges. This approach was applied to lossy image coding resulting in a reduction of ringing artifacts. As edges were predicted using neighboring pixels, the nonlinear transforms made the decorrelation more flexible. In this paper we propose a time-varying filterbank and apply it to lossless image coding. In this scheme, we estimate the standard deviation of the neighboring pixels of the current pixel by solving the maximum likelihood problem. The filterbank is switched between three filter banks, depending on the estimated standard deviation.

Original languageEnglish
Number of pages5
Publication statusPublished - 1999 Dec 1
EventInternational Conference on Image Processing (ICIP'99) - Kobe, Jpn
Duration: 1999 Oct 241999 Oct 28


OtherInternational Conference on Image Processing (ICIP'99)
CityKobe, Jpn

ASJC Scopus subject areas

  • Hardware and Architecture
  • Computer Vision and Pattern Recognition
  • Electrical and Electronic Engineering


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