Wavelet transformation using multicore processors
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United States of America Patent
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Nov 24, 2015
Grant Date -
Sep 20, 2012
app pub date -
Jan 14, 2011
filing date -
Nov 30, 2010
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Abstract
A method for wavelet based data compression comprising: receiving data associated, with a set of pixels, computing wavelet coefficients by applying a series of Discrete Wavelet Transform (DWT) low-pass and high-pass filtering operations, wherein a number of filtering operations is reduced by: identifying common partial products for at least one of the lowpass filtering operations and the high-pass filtering operations, classifying a first portion of the wavelet coefficients as low magnitude coefficients and a second portion of the wavelet coefficients as high magnitude coefficients, eliminating the common partial products for the high magnitude wavelet coefficients, replacing multiplication operations for the low magnitude wavelet coefficients with shift-and-add operations, and eliminating the common partial products, and applying the DWT based on remaining filtering operations.
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