A finite algorithm for finding the projection of a point onto the Canonical simplex of Rn
Journal of Optimization Theory and Applications
Digital halftoning
Structure identification of nonlinear dynamic systems—a survey on input/output approaches
Automatica (Journal of IFAC)
Selected Papers on Digital Halftoning
Selected Papers on Digital Halftoning
Least-squares model-based halftoning
IEEE Transactions on Image Processing
Electrophotographic process embedded in direct binary search
IEEE Transactions on Image Processing
Impact of HVS models on model-based halftoning
IEEE Transactions on Image Processing
Halftoning via direct binary search using analytical and stochastic printer models
IEEE Transactions on Image Processing
Printer models and error diffusion
IEEE Transactions on Image Processing
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This paper presents the design of a Wiener model for a class of laser electrophotographic printers utilizing a fuzzy neural approach. The feasibility and effectiveness of incorporating the proposed spatial-based Wiener printer model into the framework of model-based digital halftoning is also investigated. The Wiener model comprises a two-dimensional FIR filter followed by a nonlinear static mapping. The nonlinear static mapping is synthesized based on a fuzzy neural network to account for the tone distortion commonly observed in a printing system. A set of systematic steps for parametric identification/optimization and evaluation of the Wiener printer model is proposed. Experimental results as well as a comparative study show that the Wiener model-based halftoning approach is superior (in terms of image quality) to conventional ones and comparable to the one utilizing a comprehensive printer model. Another comparative study reveals that the Wiener printer model, though computationally less efficient than the conventional dot-overlap model, consumes significantly less time to process an image than the comprehensive printer model does.