New architectures for real-time video and bio-medical imaging applications

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Most real-time multimedia-based applications employ digital video and image processors that are built on computation of irrational transform coefficients (such as cosine, sine, or wavelet functions), which cannot be exactly implemented due to lack of finite binary representation. Hence, in implementing them, we invariably introduce heavy truncation errors; as the process continues, more errors are incurred, which eventually results in inefficient design, and degrades reconstruction quality. In the recent past, error-free scheme has been shown to be an effective way in eliminating such truncation errors, where the basis functions are exactly encoded with integers. This integer implementation is very simple, and enables building efficient VLSI architectures.