Table based compression with embedded coding

Image analysis – Image compression or coding – Quantization

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Details

382248, G06K 936, G06K 938, G06K 946

Patent

active

061545724

ABSTRACT:
An image compression system includes a vectorizer and a hierarchical vector quantization table that outputs embedded code. The vectorizer converts an image into image vectors representing respective blocks of image pixels. The table provides computation-free transformation and compression of the image vectors. Table design can be divided into codebook design and fill-in procedures for each stage. Codebook design for the preliminary stages uses a splitting generalized Lloyd algorithm (LBG/GLA) using a perceptually weighted distortion measure. Codebook design for the final stage uses a greedily-grown and then entropy-pruned tree-structure variation of GLA with an entropy-constrained distortion measure. Table fill-in for all stages uses an unweighted proximity measure for assigning inputs to codebook vectors. Transformations and compression are fast because they are computation free. The hierarchical, multi-stage, character of the table allow it to operate with low memory requirements. The embedded output allows convenient scalability suitable for collaborative video applications over heterogeneous networks.

REFERENCES:
patent: 4987480 (1991-01-01), Lippman et al.
patent: 5060285 (1991-10-01), Dixit et al.
patent: 5282255 (1994-01-01), Bovik et al.
patent: 5341441 (1994-08-01), Maeda et al.
patent: 5371544 (1994-12-01), Jacquin et la.
patent: 5521988 (1996-05-01), Li et al.
patent: 5592228 (1997-01-01), Dachiku et al.
patent: 5602589 (1997-02-01), Wishwanath et al.
patent: 5623312 (1997-04-01), Yan et al.
Chou et al, "Optimal Pruning with Applications to Tree-Structured Source Coding and Modeling," IEEE Trans. Inform. Theory, vol. 35, No. 2, pp. 299-315, Mar. 1989.
Nasrabadi et al, "Image Coding Using Vector Quantization: A Review," Reprinted from IEEE Trans. Commun., vol. COM-36, pp. 957-971, Aug. 1988.
Linde, Y., et al., "An Algorithm for Vector Quantization Design", IEEE Transactions on Communications, vol. COM-28, No. 1, 84-95, (Jan. 1980).
Chaddha, N., et al., "Constrained and Recursive Hierarchical Table-Lookup Vector Quantization", Data Compression, 1996 Conference, pp. 220-229, (1996).
Chaddha, N., et al., "Hierarchical Vector Quantization of Perceptually Weighted Block Transforms", IEEE, pp. 3-12, (1995).
Cosman, P.C., et al., "Using Vector Quantization for Image Processing", Proceedings of the IEEE, vol. 81, No. 9, 1326-1341, (1993).
Ho, Y., et al., "Variable-rate Multi-stage Vector Quantization for Image Coding", IEEE, pp. 1156-1159, (1988).
Mehrotra, S., et al., "Predictive Hierarchical Table-Lookup Vector Quantization with Quadtree Encoding", Proceedings. International Conference on Image Processing, (Cat. No. 96CH35919), vol. 3, pp. 407-410, (1996).
Vishwanath, M., "Algorithms and archtiectures for hierarchical compression of video", Proceedings of International Conference on Applicaiton Specific Array Processors, 10-21, (1994).
Yang, K., et al., "Motion compensated wavelet transform coder for very low bit-rate visual telephony", Signal Processing: Image Communication, vol. 7, pp. 581-592, (1995).

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