Size-controllable region-of-interest in scalable image representation

Differentiating region-of-interest (ROI) from non-ROI in an image in terms of relative size as well as fidelity becomes an important functionality for future visual communication environment with a variety of display devices. In this paper, we propose a scalable image representation with the ROI fun...

Ausführliche Beschreibung

Bibliographische Detailangaben
Veröffentlicht in:IEEE transactions on image processing : a publication of the IEEE Signal Processing Society. - 1992. - 20(2011), 5 vom: 15. Mai, Seite 1273-80
1. Verfasser: Won, Chee Sun (VerfasserIn)
Weitere Verfasser: Shirani, Shahram
Format: Online-Aufsatz
Sprache:English
Veröffentlicht: 2011
Zugriff auf das übergeordnete Werk:IEEE transactions on image processing : a publication of the IEEE Signal Processing Society
Schlagworte:Journal Article Research Support, Non-U.S. Gov't
LEADER 01000naa a22002652 4500
001 NLM20334667X
003 DE-627
005 20231223225942.0
007 cr uuu---uuuuu
008 231223s2011 xx |||||o 00| ||eng c
024 7 |a 10.1109/TIP.2010.2090534  |2 doi 
028 5 2 |a pubmed24n0678.xml 
035 |a (DE-627)NLM20334667X 
035 |a (NLM)21047713 
040 |a DE-627  |b ger  |c DE-627  |e rakwb 
041 |a eng 
100 1 |a Won, Chee Sun  |e verfasserin  |4 aut 
245 1 0 |a Size-controllable region-of-interest in scalable image representation 
264 1 |c 2011 
336 |a Text  |b txt  |2 rdacontent 
337 |a ƒaComputermedien  |b c  |2 rdamedia 
338 |a ƒa Online-Ressource  |b cr  |2 rdacarrier 
500 |a Date Completed 19.08.2011 
500 |a Date Revised 21.04.2011 
500 |a published: Print-Electronic 
500 |a Citation Status MEDLINE 
520 |a Differentiating region-of-interest (ROI) from non-ROI in an image in terms of relative size as well as fidelity becomes an important functionality for future visual communication environment with a variety of display devices. In this paper, we propose a scalable image representation with the ROI functionality in the spatial domain, which allows us to generate a hierarchy of images with arbitrary sizes. The ROI functionality of our scalable representation is a result of a nonuniform grid transformation in the spatial domain, where only the center of ROI and an expansion parameter are to be known. Our grid transformation guarantees no loss of information within the area of ROI 
650 4 |a Journal Article 
650 4 |a Research Support, Non-U.S. Gov't 
700 1 |a Shirani, Shahram  |e verfasserin  |4 aut 
773 0 8 |i Enthalten in  |t IEEE transactions on image processing : a publication of the IEEE Signal Processing Society  |d 1992  |g 20(2011), 5 vom: 15. Mai, Seite 1273-80  |w (DE-627)NLM09821456X  |x 1941-0042  |7 nnns 
773 1 8 |g volume:20  |g year:2011  |g number:5  |g day:15  |g month:05  |g pages:1273-80 
856 4 0 |u http://dx.doi.org/10.1109/TIP.2010.2090534  |3 Volltext 
912 |a GBV_USEFLAG_A 
912 |a SYSFLAG_A 
912 |a GBV_NLM 
912 |a GBV_ILN_350 
951 |a AR 
952 |d 20  |j 2011  |e 5  |b 15  |c 05  |h 1273-80