DocumentCode :
2255977
Title :
ALZ: Adaptive Learning for Zooming Digital Images
Author :
Battiato, S. ; Rundo, F. ; Stanco, F.
Author_Institution :
Dipartimento di Matematica e Informatica, Catania Univ.
fYear :
2007
fDate :
10-14 Jan. 2007
Firstpage :
1
Lastpage :
2
Abstract :
In this paper a new method for zooming color images is proposed. It is based on a self organizing system that runs as "intelligent" assistant during the enlargement processing. The algorithm proposed uses local gradient estimation and gives results that have sharpness and computation time better than classical and recent techniques.
Keywords :
image colour analysis; learning (artificial intelligence); adaptive learning; digital image zooming; enlargement processing; gradient estimation; image color; intelligent assistant; self organizing system; Algorithm design and analysis; Digital images; Flowcharts; Frequency; Image analysis; Image color analysis; Interpolation; Organizing; Pixel; Time sharing computer systems;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Consumer Electronics, 2007. ICCE 2007. Digest of Technical Papers. International Conference on
Conference_Location :
Las Vegas, NV
Print_ISBN :
1-4244-0763-X
Electronic_ISBN :
1-4244-0763-X
Type :
conf
DOI :
10.1109/ICCE.2007.341471
Filename :
4146091
Link To Document :
بازگشت