Design of a wavelet slave processor for audio and video decompression
Yan Lu, Debin Zhao, Yiu Keung Chan · Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE · 2001
In terms of image and video compression, it is well known that Wavelet Transform (WT) can achieve higher compression efficiency than Discrete Cosine Transform (DCT) when post transform coding scheme of similar computational complexity is used. On the other hand it is also well known that wavelet approach has a higher computational complexity than DCT both in software and in hardware. When both audio and video compression are required as in the case of video recording, it is desirable to achieve higher compression efficiency using WT and to share the same hardware that is based on WT technology. It is the intention of this paper to present an architecture for a WT slave processor. In this paper, our own results for image and audio compression will be presented to show the effectiveness of wavelet transform. We will then show that integer based wavelet transform has enough accuracy for both audio and video base on our own experience. We will then present decompression executable codes which is an intermediate step before the hardware architecture. We will then show an architectural design for an integer Wavelet Slave Processor (WSP) for decompression. This proposed WSP can be designed, as variation on a theme, for the compression of audio and video data.