DocumentCode :
3411294
Title :
On the capacity of orientation modulation halftone channels
Author :
Bulan, Orhan ; Sharma, Gaurav ; Monga, Vishal
Author_Institution :
ECE Dept, Univ. of Rochester, Rochester, NY
fYear :
2008
fDate :
March 31 2008-April 4 2008
Firstpage :
1685
Lastpage :
1688
Abstract :
Clustered-dot halftones are extensively utilized in hardcopy printing. Modulation of the dot orientation in these halftones offers an avenue for data embedding which has been exploited in a number of different methods. We consider the capacity of these channels, modeling them as binary orientation input channels with vector valued output detection statistics. We derive upper bounds on the capacity for three channel conditional distributions corresponding to sub-Gaussian, Gaussian and super-Gaussian distributions. Using experimentally estimated channel parameters our bounds reveal that channel capacity has noticeable variations as a function of gray level. Highlights, shadows and mid-tones offer negligible capacity, on the contrary the regions between highlights and mid-tones or shadows and mid-tones offer high capacity for data embedding.
Keywords :
Gaussian distribution; channel capacity; image processing; modulation; watermarking; Gaussian distribution; binary orientation input channels; clustered-dot halftones; data embedding; dot orientation; hardcopy printing; orientation modulation halftone channel capacity; sub-Gaussian distribution; super-Gaussian distribution; superGaussian distributions; vector valued output detection statistics; Channel capacity; Frequency estimation; Frequency synchronization; Parameter estimation; Pixel; Printing; Statistical distributions; Statistics; Upper bound; Watermarking; Orientation modulation halftone channel; capacity; print watermark;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Acoustics, Speech and Signal Processing, 2008. ICASSP 2008. IEEE International Conference on
Conference_Location :
Las Vegas, NV
ISSN :
1520-6149
Print_ISBN :
978-1-4244-1483-3
Electronic_ISBN :
1520-6149
Type :
conf
DOI :
10.1109/ICASSP.2008.4517952
Filename :
4517952
Link To Document :
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