Application of an optimally localized and fast wavelet transform in image compression
The general subband decomposition problem is discussed. A fast and optimally localized biorthogonal wavelet transformation, suitable for image compression applications, is proposed. The performance of this transformation is compared to that of the discrete cosine transform in the context of still image compression.<<ETX>>