Academic Journals Database
Disseminating quality controlled scientific knowledge

Performance Improvement of Vector Quantization with Bitparallelism Hardware

Author(s): Pi-Chung Wang

Journal: International Journal of Image Processing
ISSN 1985-2304

Volume: 3;
Issue: 4;
Start page: 153;
Date: 2009;
VIEW PDF   PDF DOWNLOAD PDF   Download PDF Original page

Keywords: Image Compression | Nearest Neighbor Search | Vector Quantization | Look-up Tables

Vector quantization is an elementary technique for image compression; however,searching for the nearest codeword in a codebook is time-consuming. In thiswork, we propose a hardware-based scheme by adopting bit-parallelism to pruneunnecessary codewords. The new scheme uses a “Bit-mapped Look-up Table”to represent the positional information of the codewords. The lookup procedurecan simply refer to the bitmaps to find the candidate codewords. Our simulationresults further confirm the effectiveness of the proposed scheme.
Affiliate Program      Why do you need a reservation system?