Abstract
We present a new approach for estimating printer model parameters that can be applied to a wide variety of laser printers. Recently developed "model-based" digital halftoning techniques depend on accurate printer models to produce high quality images using standard laser printers (typically 300 dpi). Since printer characteristics vary considerably, e.g. write-black vs. write-white laser printers, the model parameters must be adapted to each individual printer. Previous approaches for estimating the printer model parameters are based on a physical understanding of the printing mechanism. One such approach uses the "circular dot-overlap model," which assumes that the laser printer produces circularly shaped dots of ink. The "circular dot-overlap model" is an accurate model for many printers but cannot describe the behavior of all printers. The new approach is based on measurements of the gray level produced by various test patterns, and makes very few assumptions about the laser printer. We use a reflectance densitometer to measure the average brightness of the test patterns, and then solve a constrained optimization problem to obtain the printer model parameters. To demonstrate the effectiveness of the approach, the model parameters of two laser printers with very different characteristics were estimated. The printed models were then used with both the modified error diffusion and the least-squares model-based approach to produce printed images with the correct gray-scale rendition. We also derived an iterative version of the modified error diffusion algorithm that improves its performance.
Original language | English (US) |
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Pages (from-to) | 355-366 |
Number of pages | 12 |
Journal | Proceedings of SPIE - The International Society for Optical Engineering |
Volume | 1913 |
DOIs | |
State | Published - Sep 8 1993 |
Externally published | Yes |
Event | Human Vision, Visual Processing, and Digital Display IV 1993 - San Jose, United States Duration: Jan 31 1993 → Feb 5 1993 |
ASJC Scopus subject areas
- Electronic, Optical and Magnetic Materials
- Condensed Matter Physics
- Computer Science Applications
- Applied Mathematics
- Electrical and Electronic Engineering