DocumentCode
292357
Title
Unitary image transforms and their implementation
Author
Gotze, Joachim ; Sauer, Matthias
Author_Institution
Inst. for Network Theory & Circuit Design, Tech. Univ. Munich, Germany
Volume
1
fYear
1993
fDate
19-21 May 1993
Firstpage
55
Abstract
The authors analyze the discrete wavelet transform (DWT) and the discrete multiwavelet transform (DMWT) and compare them with the Karhunen-Loeve transform (KLT), the discrete cosine transform (DCT), the Haar transform, and the Hadamard transform. The comparison is made with respect to computational complexity, base construction, energy compaction, and implementational aspects. It is shown that wavelet transforms achieve a compaction performance which is comparable to DCT, whereas they require significantly less computational effort, (O (n 2)) instead of O (n 2 log n ). A VLSI implementation of the DMWT offers the advantage that it can be used for base construction
Keywords
VLSI; computational complexity; image processing; matrix multiplication; transforms; wavelet transforms; VLSI; base construction; compaction performance; computational complexity; computational effort; discrete multiwavelet transform; discrete wavelet transform; energy compaction; implementation; unitary image transforms; Compaction; Computational efficiency; Differential equations; Discrete cosine transforms; Discrete wavelet transforms; Image analysis; Image reconstruction; Karhunen-Loeve transforms; Sparse matrices; Wavelet transforms;
fLanguage
English
Publisher
ieee
Conference_Titel
Communications, Computers and Signal Processing, 1993., IEEE Pacific Rim Conference on
Conference_Location
Victoria, BC
Print_ISBN
0-7803-0971-5
Type
conf
DOI
10.1109/PACRIM.1993.407221
Filename
407221
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