Home   >   CSC-OpenAccess Library   >    Manuscript Information
Parallelization of the LBG Vector Quantization Algorithm for Shared Memory Systems
Shrisha Rao
Pages - 170 - 183     |    Revised - 30-09-2009     |    Published - 21-10-2009
Volume - 3   Issue - 4    |    Publication Date - August 2009  Table of Contents
MORE INFORMATION
KEYWORDS
vector quantization, LBG algorithm, parallel processing
ABSTRACT
This paper proposes a parallel approach for the Vector Quantization (VQ) problem in image processing. VQ deals with codebook generation from the input training data set and replacement of any arbitrary data with the nearest codevector. Most of the efforts in VQ have been directed towards designing parallel search algorithms for the codebook, and little has hitherto been done in evolving a parallelized procedure to obtain an optimum codebook. This parallel algorithm addresses the problem of designing an optimum codebook using the traditional LBG type of vector quantization algorithm for shared memory systems and for the efficient usage of parallel processors. Using the codebook formed from a training set, any arbitrary input data is replaced with the nearest codevector from the codebook. The effectiveness of the proposed algorithm is indicated.
1 Google Scholar 
2 ScientificCommons 
3 Academic Index 
4 CiteSeerX 
5 refSeek 
6 iSEEK 
7 Socol@r  
8 ResearchGATE 
9 Bielefeld Academic Search Engine (BASE) 
10 OpenJ-Gate 
11 Scribd 
12 WorldCat 
13 SlideShare 
14 PDFCAST 
15 PdfSR 
16 arXiv 
Akiyoshi Wakatani: A VQ compression algorithm for a multiprocessor system with a global sort collective function, data compression Conference .DCC 2006 proceedings.
C. Huang: Large vector quantization codebook generation analysis and design, Ph.D. dissertation, Utah State Univ., 1990
Edward A. Fox: DVI Parallel Image Compression, Communications of the ACM, Vol 32, Number 7, July 1989, pp 844-851.
Lee, H.J. Liu, J.C. Chan, A.K. Chui, C.K: A parallel vector quantization algorithm for SIMD multiprocessor systems, Data Compression Conference, 1995. DCC ’95 Proceedings
Parallel codebook design for vector quantization on a message passing MIMD architecture, Hazem M. Abbas, Mohamed M. Bayoumi 2002.
Toshiyuki Nozawa, Makoto Imai, Masanori Fujibayashi,and Tadahiro Ohmi: A Parallel Vector Quantization Processor Featuring an Efficient Search Algorithm for Real-time Motion Picture Compression ASP-DAC 2001: 25-26
Troy Maurice Thomas: Vector Quantization of Color Images Using Distributed Multiprocessors, T.R. #USUEE-88-15, Utah State University, Logan, Ut., 1988.
Vandana S.Rungta: parallel vector quantization codebook generation, Utah State University, Logan, Utah 1991.
W. H. Equitz: A vector quantization clustering algorithm, IEEE. Trans. ASSP. vol. 37, no. 10, pp. 1568-1575, Oct. 1989.
Y. Linde, A. Buzo, and R. M. Gray: An algorithm for vector quantizer design, IEEE Trans. Commun., vol. COM-28, pp. 84-95, Jan. 1980
Assistant Professor Shrisha Rao
- India
shrao@spamcop.net


CREATE AUTHOR ACCOUNT
 
LAUNCH YOUR SPECIAL ISSUE
View all special issues >>
 
PUBLICATION VIDEOS