Minimally non-linear integer wavelets for image coding

被引：0
|
作者：
Grangetto, N [1 ]
Magli, E [1 ]
Olmo, G [1 ]
机构：
[1] Politecn Torino, Dipartimento Elettron, I-10129 Turin, Italy
来源：
2000 IEEE INTERNATIONAL CONFERENCE ON ACOUSTICS, SPEECH, AND SIGNAL PROCESSING, PROCEEDINGS, VOLS I-VI | 2000年
关键词：
D O I：
暂无
中图分类号：
O42 [声学];
学科分类号：
070206 ; 082403 ;
摘要：
In this paper Re deal with the problem of finding high performance factorizations of wavelet filters to be employed within the Lifting Scheme framework to yield the Integer Wavelet Transform (IWT). A method is proposed, based on the search for the factorization yielding the minimally non-linear iterated graphic function. Results are reported, referring to a set of popular wavelet filters, which show that the obtained implementations lead to IWTs achieving very satisfactory results for both lossy and lossless image compression.
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页码：2039 / 2042
页数：4
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