Image coding using wavelets based on two-channel linear phase orthogonal IIR filter banks

Toshiyuki Uto, Masahiro Okuda, Masaaki Ikehara, Shin ichi Takahashi

Research output: Contribution to conferencePaper

5 Citations (Scopus)

Abstract

In this paper, we focus on two-channel perfect reconstruction IIR filter banks. Often two-channel FIR filter banks with additional characteristics such as the perfect reconstruction property and linear phase are used in subband systems. This type of filter banks belongs to the class called biothogonal filter banks. While several works have pointed out that the perfect reconstruction IIR filter banks have both linear phase and orthogonality, the linear phase orthogonal IIR filter banks have never been applied to image coding. Then we apply the two-channel perfect reconstruction IIR filter banks consisted of allpass filters, with both linear phase and orthogonality, to image coding and show that the proposed IIR filter bank with 3 zeros at z = -1 for the analysis lowpass filter, has less computational complexity and produces better results in terms of PSNR than the FIR filter bank, namely the two-channel linear phase biorthogonal (9,7)-taps. Consequently both linear phase and orthogonality are essential to improve coding performance.

Original languageEnglish
Pages265-268
Number of pages4
Publication statusPublished - 1999 Dec 1
EventInternational Conference on Image Processing (ICIP'99) - Kobe, Jpn
Duration: 1999 Oct 241999 Oct 28

Other

OtherInternational Conference on Image Processing (ICIP'99)
CityKobe, Jpn
Period99/10/2499/10/28

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ASJC Scopus subject areas

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

Cite this

Uto, T., Okuda, M., Ikehara, M., & Takahashi, S. I. (1999). Image coding using wavelets based on two-channel linear phase orthogonal IIR filter banks. 265-268. Paper presented at International Conference on Image Processing (ICIP'99), Kobe, Jpn, .