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Please use this identifier to cite or link to this item: http://ir.ncue.edu.tw/ir/handle/987654321/1731

Title: The Segmented-Matrix Algorithm for Haar Discrete Wavelet Transform
Authors: Chen, P.-Y.;Liao, E.-C.;Liang, C.-W.
Contributors: 資訊工程學系
Keywords: Segmented-Matrix Algorithm
Haar Siscrete Wavelet Transform
VLSI Architectures
Parallel
Pipeline
Date: 2008-07
Issue Date: 2010-11-12T07:16:20Z
Abstract: Discrete wavelet transform (DWT) is an efficient tool for multi-resolution decomposition of images. It has been shown to be very promising due to its high compression ratio and self-similar data structure. Conventionally a 2-D DWT is accomplished by performing two 1-D operations: one along the rows and the other along the columns of an image. Without executing ordered 1-D transforms, we develop a new algorithm to compute a 2-D Haar DWT, the simplest DWT. Two merits of this algorithm are compactness and quickness. The algorithm is implemented with a compact, regular VLSI architecture whose system throughput can be conveniently improved by appropriate parallel/pipeline methods.
Relation: Journal of Information Science and Engineering, 24(4), 2008:1273-1282
Appears in Collections:[Department and Graduate Institute of Computer Science and Information Engineering] Periodical Articles

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