Systems and methods for detecting image quality defects

Details Systems and methods for detecting image quality defects Systems and methods for detecting image quality defects

2011-06-21

2011-06-21

Poon, King Y (Department: 2625)

Facsimile and static presentation processing

Static presentation processing

Attribute control

C358S518000, C382S167000

Reexamination Certificate

active

07965414

ABSTRACT:
An approach for detecting and correcting printing system print quality defects is disclosed that allows defects to be corrected based on an analysis of image data collected over time, across many separate images, under a wide variety of system status and environmental conditions to allow detection of print quality defects that would otherwise be undetectable. The approach supports the detection and correction of defects related to colorant appearance effects that are correlated to colorant interactions. Techniques are described by which allow image data to be efficiently collected and stored to support a wide range of defect processing techniques. Defect processing may be performed in parallel with print job operations using spare processor CPU cycles and/or may be performed off-line by either the printing system processor or a separate defect processing system. Detected print quality defects may be corrected for using one or more interpolation techniques.

REFERENCES:
patent: 6377758 (2002-04-01), OuYang et al.
patent: 7376269 (2008-05-01), Klassen et al.
patent: 2005/0025383 (2005-02-01), Domingo et al.
patent: 2005/0248801 (2005-11-01), Miyahara et al.
patent: 2005/0286742 (2005-12-01), Rasmussen et al.
patent: 2006/0077489 (2006-04-01), Zhang et al.
patent: 2006/0110009 (2006-05-01), Klassen et al.
patent: 2006/0274337 (2006-12-01), Dalal et al.

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