TY - GEN
T1 - Single separation analysis for clustered-dot halftones
AU - Jumabayeva, Altyngul
AU - Frank, Tal
AU - Ben-Shoshan, Yotam
AU - Ulichney, Robert
AU - Allebach, Jan
N1 - Publisher Copyright:
© 2016 IEEE.
PY - 2016/8/3
Y1 - 2016/8/3
N2 - The goal of this paper is to investigate the effect of choosing a certain halftone screen on image graininess development and to establish the metrics for image graininess in high-end digital printing technologies. With the obtained knowledge, our model helps us choose the optimal periodicity matrices for designing regular or irregular clustered dot halftones. The main advantage of the proposed model lies in predicting the graininess ratios based solely on the periodicity matrix. We conduct an in-depth Fourier analysis, which exposes to us all the details regarding the spectrum of a desired halftone screen. Hence, at this stage of the design process, there is no need to generate the halftone screens themselves.
AB - The goal of this paper is to investigate the effect of choosing a certain halftone screen on image graininess development and to establish the metrics for image graininess in high-end digital printing technologies. With the obtained knowledge, our model helps us choose the optimal periodicity matrices for designing regular or irregular clustered dot halftones. The main advantage of the proposed model lies in predicting the graininess ratios based solely on the periodicity matrix. We conduct an in-depth Fourier analysis, which exposes to us all the details regarding the spectrum of a desired halftone screen. Hence, at this stage of the design process, there is no need to generate the halftone screens themselves.
KW - Clustered-dot halftoning
KW - Graininess
KW - Human visual system
KW - Irregularity
UR - http://www.scopus.com/inward/record.url?scp=85006699577&partnerID=8YFLogxK
U2 - 10.1109/ICIP.2016.7533188
DO - 10.1109/ICIP.2016.7533188
M3 - Conference contribution
AN - SCOPUS:85006699577
T3 - Proceedings - International Conference on Image Processing, ICIP
SP - 4383
EP - 4387
BT - 2016 IEEE International Conference on Image Processing, ICIP 2016 - Proceedings
PB - Institute of Electrical and Electronics Engineers
T2 - 23rd IEEE International Conference on Image Processing, ICIP 2016
Y2 - 25 September 2016 through 28 September 2016
ER -