Wavelet filter design based on the lifting scheme and its application in lossless image compression
WSEAS Transactions on Signal Processing
ISPRA'09 Proceedings of the 8th WSEAS international conference on Signal processing, robotics and automation
Poly-DWT: Polymorphic wavelet hardware support for dynamic image compression
ACM Transactions on Embedded Computing Systems (TECS)
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Many wavelet filters found in the literature have irrational coefficients and thus require infinite precision implementation. One of the most popular filter pairs is the “9/7” biorthogonal pair of Cohen, Daubechies and Feauveau (1992), which is adopted in the FBI finger-print compression standard. We present a technique to rationalize the coefficients of wavelet filters that will preserve biorthogonality and perfect reconstruction. Furthermore, most of the zeros at z=-1 will also be preserved. These zeros are important for achieving regularity. The rationalized coefficients filters have characteristics that are close to the original irrational coefficients filters. Three popular pairs of filters, which include the “9/7” pair, are considered