A signal processing model for laser print engines

Author

Wells, Richard B. ; Vongkunghae, Akaraphunt ; Yi, Jang

Volume

2

fYear

2002

fDate

5-8 Nov. 2002

Firstpage

1514

Abstract

An accurate printer model that is efficient enough to be used by halftoning algorithms is proposed. The signal processing model (SPM) proposed in this paper utilizes a physical model to train adaptive linear combiners (ALCs), after which the average exposure of each subpixel for any input pattern can be calculated using the optimized weight vector. The SPM can be used to model multi-level halftoning and resolution enhancement, as well as traditional halftoning. The SPM is comprised of a single layer of ALC´s and is adapted using the LMS algorithm. A relatively small number of training patterns suffices to obtain adequate model accuracy.

Keywords

electrophotography; laser printers; least mean squares methods; signal processing; LMS algorithm; adaptive linear combiners training; electrophotography; halftoning algorithms; input pattern calculation; laser print engines; optimized weight vector; resolution enhancement; signal processing model; Adaptive signal processing; Automatic logic units; Engines; Laser modes; Laser theory; Printers; Scanning probe microscopy; Signal processing; Signal processing algorithms; Vectors;

fLanguage

English

Publisher

ieee

Conference_Titel

IECON 02 [Industrial Electronics Society, IEEE 2002 28th Annual Conference of the]

Print_ISBN

0-7803-7474-6

Type

conf

DOI

10.1109/IECON.2002.1185504

Filename

1185504