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小波域的图像处理技术已经广泛应用于各种领域,但2维离散小波变换的实现通常需要耗费大量时间和存储空间,在许多实时环境中,极大地降低了系统的效率和性能。为了充分利用计算资源文中利用数字信号处理器TMS320C6416T双向循环寻址和流水线技术的硬件特性,给出一种高速实现的方案。实验结果表明,卷积模式下的离散小波变换的快速实现能够满足实时处理的要求,并为今后的研究指明了应用前景。
Wavelet domain image processing technology has been widely used in various fields, but the realization of two-dimensional discrete wavelet transform usually takes a lot of time and storage space, in many real-time environment, greatly reducing the efficiency and performance of the system. In order to take full advantage of the hardware resources of the digital signal processor TMS320C6416T bidirectional circular addressing and pipeline technology in the paper, a high-speed implementation scheme is given. The experimental results show that the fast realization of discrete wavelet transform in convolution mode can meet the requirements of real-time processing and indicate the application prospect for future research.