For Full-Text PDF, please login, if you are a member of IEICE,|
or go to Pay Per View on menu list, if you are a nonmember of IEICE.
An LSI for Low Bit-Rate Image Compression Using Vector Quantization
Kazutoshi KOBAYASHI Noritsugu NAKAMURA Kazuhiko TERADA Hidetoshi ONODERA Keikichi TAMARU
IEICE TRANSACTIONS on Electronics
Publication Date: 1998/05/25
Print ISSN: 0916-8516
Type of Manuscript: Special Section PAPER (Special Issue on Multimedia, Network, and DRAM LSIs)
parallel processor, memory-based, vector quantization, low bit-rate image compression, low power, SIMD,
Full Text: PDF>>
We have developed and fabricated an LSI called the FMPP-VQ64. The LSI is a memory-based shared-bus SIMD parallel processor containing 64 PEs, intended for low bit-rate image compression using vector quantization. It accelerates the nearest neighbor search (NNS) during vector quantization. The computation time does not depend on the number of code vectors. The FMPP-VQ64 performs 53,000 NNSs per second, while its power dissipation is 20 mW. It can be applied to the mobile telecommunication system.