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Scalable Interframe Wavelet Coding with Low Complex Spatial Wavelet Transform
Author(s) -
Kim Wonha,
Jeong Seyoon,
Kim Kyuheon
Publication year - 2006
Publication title -
etri journal
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.295
H-Index - 46
eISSN - 2233-7326
pISSN - 1225-6463
DOI - 10.4218/etrij.06.0105.0076
Subject(s) - computer science , wavelet transform , discrete wavelet transform , wavelet , codec , inter frame , wavelet packet decomposition , second generation wavelet transform , computational complexity theory , lifting scheme , ringing , scalability , computer engineering , theoretical computer science , algorithm , artificial intelligence , computer hardware , frame (networking) , reference frame , telecommunications , enhanced data rates for gsm evolution , database
In the decoding process associated with interframe wavelet coding, the inverse wavelet transform requires high computational complexity. However, as video technology starts to pervade all aspects of our lives, decoders are becoming required in various devices such as PDAs, notebooks, PCs, and set‐top boxes. Therefore, a decoder's complexity needs to be adapted to the processor's computational power, and consequently a low‐complexity codec is also required for scalable video coding. In this paper, we propose a method of controlling and lowering the complexity of the spatial wavelet transform while sustaining the same coding efficiency as that currently afforded. In addition, the proposed method may alleviate the ringing effect for slowly changing image sequences.

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