Implementation of VQ algorithms on a reconfigurable array processor. Professional paper

Technical Report · Wed May 01 00:00:00 EDT 1991

OSTI ID:5217551

Henderson, T B; Thyagarajan, K S

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 real time coding is required in many video applications, the need for dedicated processing architectures arises naturally. This paper investigates the mapping of VQ algorithms onto an array processor to achieve near real-time compression of video images.

• Research Organization: Naval Ocean Systems Center, San Diego, CA (United States)
• OSTI ID: 5217551
• Report Number(s): AD-A-236483/4/XAB
• Country of Publication: United States
• Language: English

Related Subjects

99 GENERAL AND MISCELLANEOUS//MATHEMATICS, COMPUTING, AND INFORMATION SCIENCE
IMAGE PROCESSING
ALGORITHMS
ARRAY PROCESSORS
COMPRESSION
COMPUTER ARCHITECTURE
DATA PROCESSING
PARALLEL PROCESSING
PROGRAMMING
QUANTIZATION
REAL TIME SYSTEMS
MATHEMATICAL LOGIC
PROCESSING
990200* - Mathematics & Computers