Referenced Items are not available for this document.
A new method is introduced by which a block truncation coder (BTC) is cascaded with a neural network-based vector quantizer (VQ). The proposed coder is very attractive for real time image transmission due to its simplicity and performance. It preserves important characteristics of the image, while cascading the BTC coder with a VQ results in high compression ratios of about 0.5 bpp without significantly increasing the coding time, due to fast coding look-up tables of the VQs. Additional advantages are fast codebook design and reduction of the codebook size required for a given reconstructed image quality
Published in:
Global Telecommunications Conference, 1998. GLOBECOM 1998. The Bridge to Global Integration. IEEE
(Volume:2
)
Date of Conference: 1998
- Page(s):
- 851 - 855 vol.2
- Meeting Date :
- 08 Nov 1998-12 Nov 1998
- Print ISBN:
- 0-7803-4984-9
- INSPEC Accession Number:
- 6409135
- Conference Location :
- Sydney,NSW
- Digital Object Identifier :
- 10.1109/GLOCOM.1998.776853
- Product Type:
- Conference Publications
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