dc.contributor.author |
Stainhaouer, GN |
en |
dc.contributor.author |
Carayannis, G |
en |
dc.date.accessioned |
2014-03-01T01:08:16Z |
|
dc.date.available |
2014-03-01T01:08:16Z |
|
dc.date.issued |
1991 |
en |
dc.identifier.issn |
0165-1684 |
en |
dc.identifier.uri |
https://dspace.lib.ntua.gr/xmlui/handle/123456789/10387 |
|
dc.relation.uri |
http://www.scopus.com/inward/record.url?eid=2-s2.0-0026142043&partnerID=40&md5=38dc9a78a7caeef8fc99b98d250eb22a |
en |
dc.subject |
character reconstruction |
en |
dc.subject |
Contour |
en |
dc.subject |
DCT |
en |
dc.subject |
DFT |
en |
dc.subject |
transform coding |
en |
dc.subject.classification |
Engineering, Electrical & Electronic |
en |
dc.subject.other |
Mathematical Transformations--Applications |
en |
dc.subject.other |
Pattern Recognition |
en |
dc.subject.other |
Character Generation/Scaling |
en |
dc.subject.other |
Contour Analysis |
en |
dc.subject.other |
Discrete Cosine Transform (DCT) |
en |
dc.subject.other |
Fast Transform Techniques |
en |
dc.subject.other |
Object Manipulation/Construction |
en |
dc.subject.other |
Transform Coding |
en |
dc.subject.other |
Codes, Symbolic |
en |
dc.title |
Character generation and scaling through fast transform techniques |
en |
heal.type |
journalArticle |
en |
heal.language |
English |
en |
heal.publicationDate |
1991 |
en |
heal.abstract |
This paper focuses on the study of some key properties of transform coding techniques, for efficient object manipulation and reconstruction. Two-dimensional binary objects are considered and represented by their one-dimensional contour signals. The expression of these contours in the transform domain has several advantages: generation of the object without destroying the key shape features, easy smoothing and high quality scaling. These operations can be realized directly from the chain code, as proposed here by using fast techniques. The performance of two very popular transform techniques is compared with respect to the quality of the reconstructed object expressed with objective measures (SNR). © 1991. |
en |
heal.publisher |
ELSEVIER SCIENCE BV |
en |
heal.journalName |
Signal Processing |
en |
dc.identifier.isi |
ISI:A1991FH22100001 |
en |
dc.identifier.volume |
23 |
en |
dc.identifier.issue |
1 |
en |
dc.identifier.spage |
1 |
en |
dc.identifier.epage |
14 |
en |