Interframe hierarchical address-vector quantization

Nasser M. Nasrabadi

doi:10.1117/12.24242

1 September 1990 Interframe hierarchical address-vector quantization

Nasser M. Nasrabadi

Proceedings Volume 1360, Visual Communications and Image Processing '90: Fifth in a Series; (1990) https://doi.org/10.1117/12.24242
Event: Visual Communications and Image Processing '90, 1990, Lausanne, Switzerland

Abstract

A new interframe coding technique is presented in this paper called Interframe Hierarchical Address- Vector Quantization (IHA-VQ). It exploits the local characteristics of a moving image's motion compensated (via block matching) difference signals by using quadtree segmentation to divide each signal into large, uniform regions and smaller, highly detailed regions. The detailed regions are encoded by Vector Quantization (VQ), and the larger, low detail regions are replenished from the previous image. IHA-VQ also exploits the correlation between the small blocks by encoding the addresses of neighboring vectors using several codebooks of address-codevectors. The IHA-VQ technique is applied to a test sequence of images in a computer simulation. The sequence was encoded at an average bit rate of 0.607 bits per pixel (bpp). The Signal-to- Noise Ratio (SNR) averaged 39.5 dB. By changing the quadtree segmentation parameter a much lower bit rate, 0.237 bpp, is achieved for a lower SNR, 37.73 dB.

Citation Download Citation

Nasser M. Nasrabadi "Interframe hierarchical address-vector quantization", Proc. SPIE 1360, Visual Communications and Image Processing '90: Fifth in a Series, (1 September 1990); https://doi.org/10.1117/12.24242

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