Video image compression using weighted wavelet hierarchical vector quantization

Abstract

Abstract A weighted wavelet hierarchical vector quantization (WWHVQ) procedure is initiated by obtaining (12) an N x N pixel image where 8 bits per pixel. A look-up operation (14) is performed to obtain data representing a discrete wavelet transform (DWT) followed by a quantization of the data. Upon completion of the look-up, a data compression will have been performed. Further stages and look-up will result in further compression of the data, i.e., 4:1, 8:1, 16:1, 32:1, 64:1,...etc. Accordingly, a determination (16) is made whether the compression is complete. If the compression is incomplete, further look-up is performed. If the compression is complete, however, the compressed data is transmitted (18). Optionally, it is determined (19) at a gateway whether further compression is required. If so, transcoding is performed (20). The receiver receives (22) the compressed data. Subsequently, a second look-up operation (24) is performed to obtain data representing an inverse discrete wavelet transform of the decompressed data. After one iteration,the data is decompressed by a factor of two. Further iterations allows for further decompression of the data. Accordingly, a determination (26) is made whether decompression is complete. If the decompression is in incomplete, further look-ups are performed, elsethe procedure is ended.

Inventors

• 👤 Mohan Vishwanath
• 👤 Philip Chou

Bibliographic Details