Title :
Unitary image transforms and their implementation
Author :
Gotze, Joachim ; Sauer, Matthias
Author_Institution :
Inst. for Network Theory & Circuit Design, Tech. Univ. Munich, Germany
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(n2)) 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;
Conference_Titel :
Communications, Computers and Signal Processing, 1993., IEEE Pacific Rim Conference on
Conference_Location :
Victoria, BC
Print_ISBN :
0-7803-0971-5
DOI :
10.1109/PACRIM.1993.407221