• DocumentCode
    3408709
  • Title

    Moiré artifact prediction in a variable data printing environment

  • Author

    Qiao, Mu ; Allebach, Jan P.

  • Author_Institution
    Sch. of Electr. & Comput. Eng., Purdue Univ., Lafayette, IN
  • fYear
    2008
  • fDate
    March 31 2008-April 4 2008
  • Firstpage
    1101
  • Lastpage
    1104
  • Abstract
    With the introduction of the digital press in recent years, the cost of short-run printing jobs has decreased. The "print-on- the-fly" capability of these digital presses makes it possible to compose documents based on the contents extracted from various databases. The traditional proofing method in print shops focuses on human visual inspection of one hard copy among thousands of print-outs. However, in variable data printing (VDP), each instance of the same template could use different texts, fonts, and images obtained through various capturing devices. Visual inspection of every copy is not cost efficient in the VDP environment. In this paper, we present a scheme to automatically predict the presence of moire artifacts in the print-out before the actual printing take place. Only the images that may induce moire artifact with respect to the targeted press will be identified and adaptive image processing can be applied to eliminate the potential artifact.
  • Keywords
    electronic publishing; image processing; adaptive image processing; content extraction; digital press; hard copy; human visual inspection; moire artifact prediction; traditional proofing method; variable data printing environment; Costs; Data engineering; Data mining; Electronic publishing; Humans; Image databases; Image processing; Inspection; Printing; Visual databases; Digital publishing; image processing; moiré artifact detection; variable data printing;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Acoustics, Speech and Signal Processing, 2008. ICASSP 2008. IEEE International Conference on
  • Conference_Location
    Las Vegas, NV
  • ISSN
    1520-6149
  • Print_ISBN
    978-1-4244-1483-3
  • Electronic_ISBN
    1520-6149
  • Type

    conf

  • DOI
    10.1109/ICASSP.2008.4517806
  • Filename
    4517806