Weighted Least-squares Color Digital Halftoning
- https://doi.org/10.2991/isrme-15.2015.21How to use a DOI?
- Color halftoning; Human vision system(HVS);Weighted least-squares
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.
- © 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/).
Cite this article
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 - https://doi.org/10.2991/isrme-15.2015.21 ID - He2015/04 ER -