The following information was submitted:
Transactions: WSEAS TRANSACTIONS ON INFORMATION SCIENCE AND APPLICATIONS
Transactions ID Number: 29-173
Full Name: Bruno Carpentieri
Position: Professor
Age: ON
Sex: Male
Address: Dipartimento di Informatica ed Applicazioni - Università di Salerno
Country: ITALY
Tel: +39 089 969500
Tel prefix:
Fax: +39 089 969600
E-mail address: bc@dia.unisa.it
Other E-mails:
Title of the Paper: Image Compression Via Textual Substitution
Authors as they appear in the Paper: Bruno Carpentieri
Email addresses of all the authors: bc@dia.unisa.it
Number of paper pages: 10
Abstract: Textual substitution methods, often called dictionary methods or Lempel-Ziv methods, after the important work of Lempel and Ziv, are one-dimensional compression methods that maintain a constantly changing dictionary of strings to adaptively compress a stream of characters by replacing common substrings with indices (pointers) into a dictionary. Lempel and Ziv proved that the proposed schemes were practical as well as asymptotically optimal for a general source model. Two-dimensional (i.e. images) applications of textual substitution methods have been widely studied in the past. Those applications involve first the application of a linearization strategy to the input data, and then the encoding of the resulting monodimensional vector using LZ type one-dimensional methods. More recent strategies blend textual substitution methods with Vector Quantization. In this paper we discuss the textual substitution methods for image compression, with particular attention to the!
AVQ class of algorithms, and review recent advances in the field.
Keywords: Data Compression, Dictionary Compression, Image Compression, Vector Quantization
EXTENSION of the file: .pdf
Special (Invited) Session: Textual Substitution Methods for Image Compression
Organizer of the Session: Plenary Talk at the ICAI 2009 Conference in Prague
How Did you learn about congress: Dr. Francesco Palmieri (GARR, Italy) email: fpalmier@unina.it - Prof. Robert Argarve (JCVI, USA) email: rthnet@hotmail.com
IP ADDRESS: 217.201.75.54
