Subband coding is becoming a viable compression method for video transmission, since the subband system can be efficiently split into a base layer and an enhancement layer without incurring any overhead. This is desirable in ATM and other packet networks. The base layer can be a standard coding algorithm such as H.261 or MPEG. In a subband-based video coding system, the higher-frequency subbands contain a small amount of the signal energy, but a large fraction of the subband data. Coarsely quantizing this higher-frequency information can achieve the desired bit rate, but will lead to lower resolution since the high frequency edges are perceptually important. In this paper, methods are studied to minimize the distortion of the coarsely coded higher frequency subbands through the use of entropy-constrained trellis coded quantization (ECTCQ) and entropy-constrained vector quantization (ECVQ).
A subband decomposition using wavelet filters has become a popular and effective basis for image compression. The use of a ladder structure for the subband filtering provides a fast implementation, and allows the system to be useful at video rates. In this paper, a system is proposed that provides good quality video for CIF sized image transmitted from 240 kbits/s down to 128 kbits/s (basic rate ISDN). The system uses subband coding, motion-compensated prediction, adaptive DCT coding, and entropy-constrained quantization to achieve the desired bit rate and image quality.
Conference Committee Involvement (2)
Visual Communications and Image Processing 2004
20 January 2004 | San Jose, California, United States
Image and Video Communications and Processing 2003
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