LOSSLESS AND LOSSY IMAGE COMPRESSION USING BIORTHOGONAL WAVELET TRANSFORMS WITH MULTIPLIERLESS OPERATIONS

We present lossless and lossy image compression algorithms, based on b iorthogonal wavelets, which provide high computational speed and excel lent compression performance. A specific pair of spline biorthogonal w avelets are chosen, having dyadic rational filter coefficients; convol utions with these filters can be performed by using only arithmetic bi t-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 ope rations when performing the inverse wavelet transform.