Halftoning via direct binary search using analytical and stochastic printer models

Authors:
F. A. Baqai;J. P. Allebach
Affiliations:
Sch. of Electr. & Comput. Eng., Purdue Univ., West Lafayette, IN, USA;-
Venue:
IEEE Transactions on Image Processing
Year:
2003

Citing 0
Cited 5

Structure-aware halftoning

ACM SIGGRAPH 2008 papers
Structure-aware error diffusion

ACM SIGGRAPH Asia 2009 papers
Improved dot diffusion by diffused matrix and class matrix co-optimization

IEEE Transactions on Image Processing
Dithering by Differences of Convex Functions

SIAM Journal on Imaging Sciences
A fuzzy neural approach to design of a Wiener printer model incorporated into model-based digital halftoning

Applied Soft Computing

Quantified Score

Hi-index	0.01

Visualization

Abstract

We incorporate models for printer dot interactions within the iterative direct binary search (DBS) halftoning algorithm. Monochrome electro-photographic printers are considered. Both analytical and stochastic models are studied. In the analytical model it is assumed that the printer can generate a circular spot with constant absorptance at each printer addressable location, whereas the stochastic model is based on microscopic absorptance and variance measurements. We also present an efficient strategy for evaluating the change in computational cost as the search progresses. With our scheme, updating the change in error only involves a few fetches from two look-up-tables and some scalar multiplications and additions. Experimental results are provided that show that DBS with an appropriate model for printer dot interactions yields enhanced detail rendition, and improved tonal gradation in shadow areas.