Multibest: Multiple Vector Interpolation for Vector-Quantization Based Image Compression
The paper reconsiders the applicability of Vector Quantization (VQ) to image compression for low bit-rate image transmission. The proposed method overcomes the basic, structural drawbacks of VQ by a general multiple-interpolation mechanism. The major advantages of the described schema are an improved generalization performance and a notable reduction in coarseness. The overall approach can then be integrated with classical adaptive methods to derive a flexible and effective compression schema without affecting compression performances. Massive experimental results on real and artificial images demonstrate the model's notable advantages over classical VQ systems and DCT-based standards.
- Published
- 1996-10
- Content type
- Original Research
- DOI
- 10.5594/M001257
- ISBN
- 978-1-61482-947-8
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