Modified Listless Set Partitioning in Hierarchical Trees (MLS) for Memory Constrained Image Coding Applications

著者

  • Monauwer Alam
  • Ekram Khan
  • Bal Gopal

キーワード:

Image coding、 wavelet、 SPIHT、 NLS、 MLS、 memory efficient image coder

要旨

 SPIHT image coding algorithm is a very effective state-of-art technique for compression of wavelet transformed images. However, the use of three continuously growing linked lists, limit its applications to achieve high quality images in memory constrained environments. The No List SPIHT (NLS) is an attempt to implement SPIHT algorithm without lists, but it uses 4 bits per coefficient state markers to keep track of significant/insignificant information of pixels/sets. This paper presents a listless implementation of SPIHT algorithm that uses state markers with only 2.5 bits/coefficients(on an average) to keep track of pixels, set and subsets information. Simulation results show that the proposed modified listless SPIHT (MLS) coder has nearly the same coding performance as that of SPIHT and NLS, but it requires significantly smaller memory compared to these coders.  Keywords: Image coding, wavelet, SPIHT, NLS, MLS, memory efficient image coder 

著者略歴

  • Monauwer Alam
    Associate Professor in the Deptt of Electronics and Communication Engg,Integral University,Lucknow.Teaching the undergraduate student since 2001,and M.Tec student since 2007
  • Ekram Khan
    Professor in the departmet of Electronics and communication engg,A.M.U, Aligarh

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発行日

2012-12-04

巻号

巻 2 号 2 (2012)

セクション

Research Articles

ライセンス

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