Impact of HVS models on model-based halftoning

Sang Ho Kim; Jan P. Allebach

doi:10.1117/12.410817

21 December 2000 Impact of HVS models on model-based halftoning

Sang Ho Kim, Jan P. Allebach

Proceedings Volume 4300, Color Imaging: Device-Independent Color, Color Hardcopy, and Graphic Arts VI; (2000) https://doi.org/10.1117/12.410817
Event: Photonics West 2001 - Electronic Imaging, 2001, San Jose, CA, United States

Abstract

A model for the human visual system (HVS) is an important component of many half toning algorithms. Using the iterative direct binary search (DBS) algorithm, we compare the halftone texture quality provided by four different HVS models that have been reported in the literature. Choosing one HVS model as the best for DBS, we then develop an approximation to that model which significantly improves computational performance while minimally increasing the complexity of the code. By varying the parameters of this mode, we find that it is possible to tune it to the gray level being rendered, and to thus yield superior halftone quality across the tone scale. We then develop a dual-metric DBS algorithm that effectively provides a tone-dependent HVS model without a large increase in computational complexity.

Citation Download Citation

Sang Ho Kim and Jan P. Allebach "Impact of HVS models on model-based halftoning", Proc. SPIE 4300, Color Imaging: Device-Independent Color, Color Hardcopy, and Graphic Arts VI, (21 December 2000); https://doi.org/10.1117/12.410817

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