Hybrid LMS-MMSE inverse halftoning technique

The objective of this work is to reconstruct high quality gray-level images from bilevel halftone images. We develop optimal inverse halftoning methods for several commonly used halftone techniques, which include dispersed-dot ordered dither, clustered-dot ordered dither, and error diffusion. At fir...

Ausführliche Beschreibung

Bibliographische Detailangaben
Veröffentlicht in:IEEE transactions on image processing : a publication of the IEEE Signal Processing Society. - 1992. - 10(2001), 1 vom: 15., Seite 95-103
1. Verfasser: Chang, P C (VerfasserIn)
Weitere Verfasser: Yu, C S, Lee, T H
Format: Online-Aufsatz
Sprache:English
Veröffentlicht: 2001
Zugriff auf das übergeordnete Werk:IEEE transactions on image processing : a publication of the IEEE Signal Processing Society
Schlagworte:Journal Article
LEADER 01000caa a22002652c 4500
001 NLM177376074
003 DE-627
005 20250209043816.0
007 cr uuu---uuuuu
008 231223s2001 xx |||||o 00| ||eng c
024 7 |a 10.1109/83.892446  |2 doi 
028 5 2 |a pubmed25n0591.xml 
035 |a (DE-627)NLM177376074 
035 |a (NLM)18249600 
040 |a DE-627  |b ger  |c DE-627  |e rakwb 
041 |a eng 
100 1 |a Chang, P C  |e verfasserin  |4 aut 
245 1 0 |a Hybrid LMS-MMSE inverse halftoning technique 
264 1 |c 2001 
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 25.06.2010 
500 |a Date Revised 05.02.2008 
500 |a published: Print 
500 |a Citation Status PubMed-not-MEDLINE 
520 |a The objective of this work is to reconstruct high quality gray-level images from bilevel halftone images. We develop optimal inverse halftoning methods for several commonly used halftone techniques, which include dispersed-dot ordered dither, clustered-dot ordered dither, and error diffusion. At first, the least-mean-square (LMS) adaptive filtering algorithm is applied in the training of inverse halftone filters. The resultant optimal mask shapes are significantly different for various halftone techniques, and these mask shapes are also quite different from the square shape that was frequently used in the literature. In the next step, we further reduce the computational complexity by using lookup tables designed by the minimum mean square error (MMSE) method. The optimal masks obtained from the LMS method are used as the default filter masks. Finally, we propose the hybrid LMS-MMSE inverse halftone algorithm. It normally uses the MMSE table lookup method for its fast speed. When an empty cell is referred, the LMS method is used to reconstruct the gray-level value. Consequently, the hybrid method has the advantages of both excellent reconstructed quality and fast speed. In the experiments, the error diffusion yields the best reconstruction quality among all three halftone techniques 
650 4 |a Journal Article 
700 1 |a Yu, C S  |e verfasserin  |4 aut 
700 1 |a Lee, T H  |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 10(2001), 1 vom: 15., Seite 95-103  |w (DE-627)NLM09821456X  |x 1941-0042  |7 nnas 
773 1 8 |g volume:10  |g year:2001  |g number:1  |g day:15  |g pages:95-103 
856 4 0 |u http://dx.doi.org/10.1109/83.892446  |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 10  |j 2001  |e 1  |b 15  |h 95-103