19 October 1998 Fast wavelet packet transform-based algorithm for numerical solution of image restoration problems in a parallel environment
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Abstract
We explore the filtering properties of wavelets functions in order to develop accurate and efficient numerical algorithms for Image Restoration problems. We propose a parallel implementation for MIMD distributed memory environments. The key insight of our approach is the use of distributed versions of Level 3 Basic Linear Algebra Subprograms as computational building blocks and the use of Basic Linear Algebra Communication Subprograms as communication building blocks for advanced architecture computers. The use of these low-level mathematical software libraries guarantees the development of efficient, portable and scalable high-level algorithms and hides many details of the parallelism from the user's point of view. Numerical experiments on a simulated image restoration applications are shown. The parallel software has been tested on a 12 nodes IBM SP2 available at the Center for Research on Parallel Computing and Supercomputers in Naples (Italy).
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Luisa Carracciuolo, Luisa D'Amore, Almerico Murli, "Fast wavelet packet transform-based algorithm for numerical solution of image restoration problems in a parallel environment", Proc. SPIE 3458, Wavelet Applications in Signal and Imaging Processing VI, (19 October 1998); doi: 10.1117/12.328140; https://doi.org/10.1117/12.328140
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KEYWORDS
Image restoration

Algorithm development

Information technology

Linear algebra

Wavelets

Matrices

Computing systems

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