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

大多数基于实时多媒体的应用程序采用数字视频和图像处理器，这些处理器是建立在无理变换系数（如余弦、正弦或小波函数）的计算上的，由于缺乏有限的二进制表示，这些系数不能精确地实现。因此，在实现它们时，我们总是会引入严重的截断误差;随着过程的继续，会产生更多的误差，最终导致设计效率低下，并降低重建质量。近年来，无误差方案已被证明是消除这种截断误差的有效方法，其中基函数精确地用整数编码。这种整数实现非常简单，并且能够构建高效的VLSI架构。

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.