It is well known that the advantages of wavelet transform are to provide characteristic of multiple resolution and global decomposition that are the significant features for the audio/video compression applications. In this paper, an effective wavelet-based audio/video compression algorithm is presented to provide highly efficient signal compression mechanism with acceptable human visual/hearing perception. Experimental simulations show that the proposed audio/video model can meet the current industrial communication requirements in terms of the processing time and the compression performance. Development of wavelet-based audio/video compression model also includes the consideration of hardware implementation. With this high-performance audio and video codec, it can be employed to develop compact, low power, high-speed, portable, cost-effective, and low-weight video/audio compression multimedia application
Published in:
Neural Networks, 2002. IJCNN '02. Proceedings of the 2002 International Joint Conference on
(Volume:3
)
Date of Conference: 2002