Unsymmetrical SPIHT codec and 1D SPIHT codec

Zhi Hui Zhang*, Zhang Jun

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

5 Citations (Scopus)

Abstract

Conventional SPIHT compression is for a 2D image or image block with the same maximum feasible decomposition level in two directions, so, only the size of image or image block is symmetrical, that is to say the maximum feasible decomposition level in two directions must be same and the image sizes had better be equal to 2 level such as 32, 64, 128 etc, the optimal compression performance can be acquired. But, in real application, the images are often unsymmetrical, even only have 1 line image data. To overcome the disadvantages of conventional SPIHT codec, this paper proposes two modification versions of SPIHT codec: unsymmetrical SPIHT codec and 1D SPIHT codec, which are adapt to the compression of images with unsymmetrical size and only 1 line image data respectively. Compared with conventional SPIHT, unsymmetrical SPIHT can remove the space redundancy of the image pixels as much as possible for more wavelet decomposition levels are performed, so, a better compression performance can be acquired. 1D SPIHT can encode and decode 1 line image data, which doesn't need a 2D image block and is very suit for hardware design in real time image transmission and compression.

Original languageEnglish
Title of host publicationProceedings - International Conference on Electrical and Control Engineering, ICECE 2010
Pages2498-2501
Number of pages4
DOIs
Publication statusPublished - 2010
Externally publishedYes
EventInternational Conference on Electrical and Control Engineering, ICECE 2010 - Wuhan, China
Duration: 26 Jun 201028 Jun 2010

Publication series

NameProceedings - International Conference on Electrical and Control Engineering, ICECE 2010

Conference

ConferenceInternational Conference on Electrical and Control Engineering, ICECE 2010
Country/TerritoryChina
CityWuhan
Period26/06/1028/06/10

Keywords

  • Compression ratio
  • Lossless compression
  • Set partitioning in hierarchical trees (SPIHT)
  • Unsymmetrical structure
  • Wavelet decomposition

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