Weighted Least-squares Color Digital Halftoning

DOI

10.2991/isrme-15.2015.21How to use a DOI?

Keywords

Color halftoning; Human vision system(HVS);Weighted least-squares

Abstract

In this paper, we propose a weighted least-squares based color halftoning model from human vision system(HVS) model and an efficient iterative strategy using color image statistical information. The statistics of the mean and variance of the color pixel of each clustering are calculated. The energy function is constructed using the weighted least squares method, which the reciprocal of the variance of the segmented regions are referred to as the weighting operator. Starting with an initial halftone.The analysis and simulation results show that the proposed algorithm produces better color halftone image quality. A performance measure for halftone images is used to evaluate our algorithm. The value of MSEv and PSNR for the partitions regions that the proposed algorithm achieves consistently better values of MSEv and PSNR than the model-based color halftoning algorithm.

Copyright

© 2015, the Authors. Published by Atlantis Press.

Open Access

This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

Download article (PDF)

TY  - CONF
AU  - Zifen He
AU  - Yinhui Zhang
PY  - 2015/04
DA  - 2015/04
TI  - Weighted Least-squares Color Digital Halftoning
BT  - Proceedings of the 2015 International Conference on Intelligent Systems Research and Mechatronics Engineering
PB  - Atlantis Press
SP  - 84
EP  - 87
SN  - 1951-6851
UR  - https://doi.org/10.2991/isrme-15.2015.21
DO  - 10.2991/isrme-15.2015.21
ID  - He2015/04
ER  -