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Simulation of Print Quality Defects

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The simulation of print quality (PQ) defects is a process in which an image is degraded by artificially generated structures to create an impression of real defects when the image is viewed or printed. The simulation algorithms generate a set of defective images that can be used in diagnostic tools for printer users. These algorithms can also provide experimental images for psychophysical evaluations regarding defect perception, which requires the capability to control the level of the defects. In addition, simulation of defects aids in testing the usability of a PQ assessment page, and the development of computer algorithms for detecting PQ defects. Thus there are many applications that need high quality simulation of PQ defects. However, little research has been devoted to this work. In this paper, we characterize the common PQ defects in color laser printers such as banding, streaks, ghosting, and repetitive artifacts. We classify these defects into three categories: defects of uniformity, defects of random marks or repetitive artifacts, and color defects. We develop a simulation model for each defect based on its features such as the shape and the spatial distribution of the defect marks, or the tone dependency of the defect. The defects are simulated on RGB color continuous-tone images.

Document Type: Research Article

Publication date: January 1, 2002

More about this publication?
  • For more than 25 years, NIP has been the leading forum for discussion of advances and new directions in non-impact and digital printing technologies. A comprehensive, industry-wide conference, this meeting includes all aspects of the hardware, materials, software, images, and applications associated with digital printing systems, including drop-on-demand ink jet, wide format ink jet, desktop and continuous ink jet, toner-based electrophotographic printers, production digital printing systems, and thermal printing systems, as well as the engineering capability, optimization, and science involved in these fields.

    Since 2005, NIP has been held in conjunction with the Digital Fabrication Conference.

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