A general approach for assessment of print quality

Laser electrophotographic printers are complex systems that can generate prints with a number of possible artifacts that are very di_erent in nature. It is a challenging task to develop a single processing algorithm that can effectively identify such a wide range of print quality defects. In this paper, we describe an image processing and analysis pipeline that can effectively assess the presence of a wide range of artifacts, as a general approach. In our paper, we will discuss in detail the algorithm that comprises the image processing and analysis pipeline, and will illustrate the efficacy of the pipeline with a number of examples.

[1]  Mohamed N. Ahmed,et al.  Characterization of Electrophotographic Print Artifacts: Banding, Jitter, and Ghosting , 2011, IEEE Transactions on Image Processing.

[2]  Mani Fischer,et al.  A robust similarity measure for automatic inspection , 2010, 2010 IEEE International Conference on Image Processing.

[3]  Eero P. Simoncelli,et al.  Image quality assessment: from error visibility to structural similarity , 2004, IEEE Transactions on Image Processing.

[4]  D. René Rasmussen.  Tent-pole spatial defect pooling for prediction of subjective quality assessment of streaks and bands in color printing , 2010, J. Electronic Imaging.

[5]  Zygmunt Pizlo,et al.  Development of softcopy environment for primary color banding visibility assessment , 2008, Electronic Imaging.

[6]  Jan P. Allebach,et al.  Masking mediated print defect visibility predictor , 2011, Electronic Imaging.

[7]  Zygmunt Pizlo,et al.  Softcopy banding visibility assessment , 2007 .

[8]  Chengwu Cui,et al.  Prediction of Print Defect Perception , 2003, PICS.

[9]  Chengwu Cui,et al.  Wavelet Analysis of Print Defects , 2002, PICS.

[10]  Ki-Youn Lee,et al.  Quantification of perceived macro-uniformity , 2011, Electronic Imaging.

[11]  Ahmed H. Eid,et al.  A unified framework for physical print quality , 2007, Electronic Imaging.

[12]  Zygmunt Pizlo,et al.  Psychophysical investigation of the effect of coring on perceived toner scatter , 2010, J. Electronic Imaging.

[13]  Kevin D. Donohue,et al.  W1.1 macro uniformity , 2009, Electronic Imaging.

[14]  Edul N. Dalal,et al.  INCITS W1.1 development update: appearance-based image quality standards for printers , 2008, Electronic Imaging.

[15]  Mohamed N. Ahmed,et al.  EP printer jitter characterization using 2D Gabor filter and spectral analysis , 2008, 2008 15th IEEE International Conference on Image Processing.

[16]  Qiang Guo,et al.  Tire Defect Detection Using Image Component Decomposition , 2012 .