DocumentCode :
1364054
Title :
Biorthogonal and nonuniform lapped transforms for transform coding with reduced blocking and ringing artifacts
Author :
Malvar, Henrique S.
Author_Institution :
Picture Tel Corp., Andover, MA, USA
Volume :
46
Issue :
4
fYear :
1998
fDate :
4/1/1998 12:00:00 AM
Firstpage :
1043
Lastpage :
1053
Abstract :
New lapped transforms are introduced. The lapped biorthononal transform (LBT) and hierarchical lapped biorthogonal transform (HLBT) are appropriate for image coding, and the modulated HLBT biorthogonal transform (MMLBT) and nonuniform modulated lapped biorthogonal transform (NMLBT) are appropriate for audio coding. The HLBT has a significantly lower computational complexity than the lapped orthogonal transform (LOT), essentially no blocking artifacts, and fewer ringing artifacts than the commonly used discrete cosine transform (DCT). The LBT and HLBT have transform coding gains that are typically between 0.5 and 1.2 dB higher than that of the DCT. Image coding examples using JPEG and embedded zerotree coders demonstrate the better performance of the LET and HLBT. The NMLBT has fewer ringing artifacts and better reproduction of transient sounds than the MLT, as shown in audio coding examples. Fast algorithms for both the HLBT and the NMLBT are presented
Keywords :
audio coding; computational complexity; image coding; modulation; transform coding; transforms; DCT; JPEG coder; audio coding; biorthogonal lapped transforms; computational complexity; discrete cosine transform; embedded zerotree coder; fast algorithms; hierarchical lapped biorthogonal transform; image coding; lapped orthogonal transform; modulated HLBT biorthogonal transform; nonuniform lapped transforms; nonuniform modulated lapped biorthogonal transform; performance; reduced blocking artifacts; reduced ringing artifacts; transform coding; transform coding gains; transient sounds reproduction; Audio coding; Discrete cosine transforms; Discrete transforms; Image coding; Image reconstruction; Modulation coding; Quantization; Signal processing algorithms; Transform coding; Video compression;
fLanguage :
English
Journal_Title :
Signal Processing, IEEE Transactions on
Publisher :
ieee
ISSN :
1053-587X
Type :
jour
DOI :
10.1109/78.668555
Filename :
668555
Link To Document :
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