A direction-adaptive image coding using two-dimensional direct lifting wavelet transform

Seisuke Kyochi, Junya Aoyama, Masaaki Ikehara

Research output: Chapter in Book/Report/Conference proceedingConference contribution

1 Citation (Scopus)

Abstract

In this paper, a novel direction-adaptive image coding scheme is introduced by using two-dimensional adaptive directional lifting-based wavelet transform (2D-ADLWT). Conventionally, one-dimensional ADLWT (1D-ADLWT) has been proposed. However, it requires large amount of computational cost for optimal lifting direction decision and image transformation. In this work, adaptive directional lifting is implemented by using 2D direct lifting wavelet transform and directional downsampling matrices. Direct 2D lifting structure can reduce the computational cost for image transformation and optimal lifting direction decision significantly. Moreover, in the simulation, it is shown that the proposed method is comparable to the 1D-ADLWT in terms of image coding efficiency. Thus, an effective ADLWT with low computational cost can be provided.

Original languageEnglish
Title of host publication2010 IEEE International Conference on Image Processing, ICIP 2010 - Proceedings
Pages381-384
Number of pages4
DOIs
Publication statusPublished - 2010 Dec 1
Event2010 17th IEEE International Conference on Image Processing, ICIP 2010 - Hong Kong, Hong Kong
Duration: 2010 Sep 262010 Sep 29

Publication series

NameProceedings - International Conference on Image Processing, ICIP
ISSN (Print)1522-4880

Other

Other2010 17th IEEE International Conference on Image Processing, ICIP 2010
Country/TerritoryHong Kong
CityHong Kong
Period10/9/2610/9/29

Keywords

  • Adaptive directional lifting
  • Image coding
  • Wavelet transform

ASJC Scopus subject areas

  • Software
  • Computer Vision and Pattern Recognition
  • Signal Processing

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