A new resolution progressive coding scheme using a sorting algorithm

T. Takahara, M. Okuda, M. Ikehara, S. Takahashi

Research output: Contribution to conferencePaper

Abstract

It has been proposed that resolution progressiveness is one of the most important techniques for image compression. In this paper, we offer a new resolution progressive coding method. The main point stresses on the way how to exploit self-similarity across different scales of wavelet transform(WT) by sorting the coefficients. Wavelet transformed images inherently have correlation between subbands at different levels in a spatial decomposition hierarchy, and thus exploiting the correlation of the hierarchy helps to compress the amount of information of images. A number of methods with SNR progressive coding have been presented so far; however, this proposed method concerns resolution progressiveness as well as SNR progressiveness, which can be only applied in each subband, and still effective and computationally very simple for image compression.

Original languageEnglish
Pages[d]198-201
Publication statusPublished - 2000 Dec 1
EventInternational Conference on Image Processing (ICIP 2000) - Vancouver, BC, Canada
Duration: 2000 Sep 102000 Sep 13

Other

OtherInternational Conference on Image Processing (ICIP 2000)
CountryCanada
CityVancouver, BC
Period00/9/1000/9/13

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ASJC Scopus subject areas

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

Cite this

Takahara, T., Okuda, M., Ikehara, M., & Takahashi, S. (2000). A new resolution progressive coding scheme using a sorting algorithm. [d]198-201. Paper presented at International Conference on Image Processing (ICIP 2000), Vancouver, BC, Canada.