Implementation of VG algorithms on a reconfigurable array processor
Vector quantization is being widely used in image data compression applications due to the facts that it is capable of achieving fractional bit rates with reasonable complexity and that the decoding is a very simple table look-up scheme. In image encoding, a vector quantizer accepts a block of pixels and outputs an address of the best matching tile stored in a codebook. The matching algorithm requires a large number of basic arithmetic operations in typical applications. Since realtime coding is required in many video applications, the need for dedicated processing architectures arises naturally. This reprint investigates the mapping of VQ algorithms onto an array processor to achieve near realtime compression of video images.
- Research Organization:
- Naval Ocean Systems Center, San Diego, CA (USA)
- OSTI ID:
- 5673441
- Report Number(s):
- AD-A-230407/9/XAB
- Country of Publication:
- United States
- Language:
- English
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