Abstract/Details

Fractal image compression

Lacroix, Bruno. 
 Carleton University (Canada) ProQuest Dissertations Publishing,  1999. MQ36939.

Abstract (summary)

This thesis examines the theory of fractal image compression and gives a survey of such techniques for still images and video sequences. Particular attention is given to partition iterated function systems (pif), but recurrent iterated function systems (rif) are also discussed. We begin with a discussion of iterated function systems and their applications in image compression and then go on to provide the theoretical basis for such systems, as well as for pif and rif. In Chapter 3 we discuss different image models as well as the encoding of images using pif and rif. Different modifications to the brute force pif are then discussed in Chapter 4, and we conclude the thesis by presenting four methods which extend the theory of pif to video sequences.

Indexing (details)


Subject
Mathematics
Classification
0405: Mathematics
Identifier / keyword
Pure sciences
Title
Fractal image compression
Author
Lacroix, Bruno
Number of pages
63
Degree date
1999
School code
0040
Source
MAI 37/05M, Masters Abstracts International
Place of publication
Ann Arbor
Country of publication
United States
ISBN
978-0-612-36939-9
University/institution
Carleton University (Canada)
University location
Canada -- Ontario, CA
Degree
M.Sc.
Source type
Dissertation or Thesis
Language
English
Document type
Dissertation/Thesis
Dissertation/thesis number
MQ36939
ProQuest document ID
304520711
Copyright
Database copyright ProQuest LLC; ProQuest does not claim copyright in the individual underlying works.
Document URL
https://www.proquest.com/docview/304520711