A new dynamic finite-state vector quantization algorithm for image compression

The picture quality of conventional memory vector quantization techniques is limited by their supercodebooks. This paper presents a new dynamic finite-state vector quantization (DFSVQ) algorithm which provides better quality than the best quality that the supercodebook can offer. The new DFSVQ explo...

Ausführliche Beschreibung

Bibliographische Detailangaben
Veröffentlicht in:IEEE transactions on image processing : a publication of the IEEE Signal Processing Society. - 1992. - 9(2000), 11 vom: 15., Seite 1825-36
1. Verfasser: Tsai, J C (VerfasserIn)
Weitere Verfasser: Hsieh, C H, Hsu, T C
Format: Online-Aufsatz
Sprache:English
Veröffentlicht: 2000
Zugriff auf das übergeordnete Werk:IEEE transactions on image processing : a publication of the IEEE Signal Processing Society
Schlagworte:Journal Article
LEADER 01000naa a22002652 4500
001 NLM177503882
003 DE-627
005 20231223150345.0
007 cr uuu---uuuuu
008 231223s2000 xx |||||o 00| ||eng c
024 7 |a 10.1109/83.877206  |2 doi 
028 5 2 |a pubmed24n0592.xml 
035 |a (DE-627)NLM177503882 
035 |a (NLM)18262920 
040 |a DE-627  |b ger  |c DE-627  |e rakwb 
041 |a eng 
100 1 |a Tsai, J C  |e verfasserin  |4 aut 
245 1 2 |a A new dynamic finite-state vector quantization algorithm for image compression 
264 1 |c 2000 
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 11.12.2009 
500 |a Date Revised 11.02.2008 
500 |a published: Print 
500 |a Citation Status PubMed-not-MEDLINE 
520 |a The picture quality of conventional memory vector quantization techniques is limited by their supercodebooks. This paper presents a new dynamic finite-state vector quantization (DFSVQ) algorithm which provides better quality than the best quality that the supercodebook can offer. The new DFSVQ exploits the global interblock correlation of image blocks instead of local correlation in conventional DFSVQs. For an input block, we search the closest block from the previously encoded data using the side-match technique. The closest block is then used as the prediction of the input block, or used to generate a dynamic codebook. The input block is encoded by the closest block, dynamic codebook or supercodebook. Searching for the closest block from the previously encoded data is equivalent to expand the codevector space; thus the picture quality achieved is not limited by the supercodebook. Experimental results reveal that the new DFSVQ reduces bit rate significantly and provides better visual quality, as compared to the basic VQ and other DFSVQs 
650 4 |a Journal Article 
700 1 |a Hsieh, C H  |e verfasserin  |4 aut 
700 1 |a Hsu, T C  |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 9(2000), 11 vom: 15., Seite 1825-36  |w (DE-627)NLM09821456X  |x 1941-0042  |7 nnns 
773 1 8 |g volume:9  |g year:2000  |g number:11  |g day:15  |g pages:1825-36 
856 4 0 |u http://dx.doi.org/10.1109/83.877206  |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 9  |j 2000  |e 11  |b 15  |h 1825-36