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Lossless and lossy image compression using biorthogonal wavelet transforms with multiplierless operations

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2 Author(s)
HyungJun Kim ; Dept. of Electr. Eng., California Univ., Riverside, CA, USA ; C. C. Li

We present lossless and lossy image compression algorithms, based on biorthogonal wavelets, which provide high computational speed and excellent compression performance. A specific pair of spline biorthogonal wavelets are chosen, having dyadic rational filter coefficients; convolutions with these filters can be performed by using only arithmetic bit-shifting and integer addition operations. For lossless compression, we have investigated a new reversible embedded wavelet transform. For lossy compression, we have constructed two-dimensional reconstruction filter masks for carrying out bit-shifting to minimize data access operations when performing the inverse wavelet transform

Published in:

IEEE Transactions on Circuits and Systems II: Analog and Digital Signal Processing  (Volume:45 ,  Issue: 8 )