Moving picture coding by lapped transform and edge adaptive deblocking filter with zero pruning SPIHT

Nasharuddin Zainal, Toshihisa Tanaka, Yukihiko Yamashita

Research output: Contribution to journalArticle

Abstract

We propose a moving picture coding by lapped transform and an edge adaptive deblocking filter to reduce the blocking distortion. We apply subband coding (SBC) with lapped transform (LT) and zero pruning set partitioning in hierarchical trees (zpSPIHT) to encode the difference picture. Effective coding using zpSPIHT was achieved by quantizing and pruning the quantized zeros. The blocking distortion caused by block motion compensated prediction is reduced by an edge adaptive deblocking filter. Since the original edges can be detected precisely at the reference picture, an edge adaptive deblocking filter on the predicted picture is very effective. Experimental results show that blocking distortion has been visually reduced at very low bit rate coding and better PSNRs of about 1.0 dB was achieved.

Original languageEnglish
Pages (from-to)1608-1617
Number of pages10
JournalIEICE Transactions on Information and Systems
VolumeE93-D
Issue number6
DOIs
Publication statusPublished - Jun 2010
Externally publishedYes

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Adaptive filters

Keywords

  • Adaptive deblocking filter
  • Lapped transform (LT)
  • Motion compensated prediction
  • Zero pruning set partitioning in hierarchical trees (zpSPIHT)

ASJC Scopus subject areas

  • Electrical and Electronic Engineering
  • Software
  • Artificial Intelligence
  • Hardware and Architecture
  • Computer Vision and Pattern Recognition

Cite this

Moving picture coding by lapped transform and edge adaptive deblocking filter with zero pruning SPIHT. / Zainal, Nasharuddin; Tanaka, Toshihisa; Yamashita, Yukihiko.

In: IEICE Transactions on Information and Systems, Vol. E93-D, No. 6, 06.2010, p. 1608-1617.

Research output: Contribution to journalArticle

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