Abstract: Conventional subband coding for image data compression uses 2D separable QMF banks in which the analysis and synthesis filters are composed of 1D filters. Such an implementation produces a large size output image as a result of the convolution process. Various signal extension methods have been proposed to solve this problem. However, these methods have one or more of the following drawbacks: generation of boundary noise, inability to guarantee aliasing cancellation, and increased computation complexity. In this paper, we present an alternative solution to the problem by converting a 2D image array to a 1D array and then using a 1D QMF bank to process the 1D signal. In our approach, most of the above drawbacks mentioned above are eliminated. In addition, our approach offers more flexibility in the type of the filter that can be implemented.!
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