Detecting a defective nozzle in a digital printing system

A method includes, receiving a first digital image (FDI) to-be printed by a digital printing system (DPS) (10). In a in training phase: for first selected regions (111) in the FDI, a first set of synthetic images (SIs) (112A, 112B, 114A, 114B, 116A, 116B) having a defect caused by a defective part (...

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Bibliographische Detailangaben
Hauptverfasser:	Yanir, Tomer, Siman Tov, Alon, Silberstein, Shai, Guttman, Avraham, Levant, Boris
Format:	Patent
Sprache:	eng
Schlagworte:	CALCULATING COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS COMPUTING CORRECTION OF TYPOGRAPHICAL ERRORS COUNTING i.e. MECHANISMS PRINTING OTHERWISE THAN FROM A FORME IMAGE DATA PROCESSING OR GENERATION, IN GENERAL LINING MACHINES PERFORMING OPERATIONS PHYSICS PRINTING SELECTIVE PRINTING MECHANISMS STAMPS TRANSPORTING TYPEWRITERS
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Beschreibung
Zusammenfassung:	A method includes, receiving a first digital image (FDI) to-be printed by a digital printing system (DPS) (10). In a in training phase: for first selected regions (111) in the FDI, a first set of synthetic images (SIs) (112A, 112B, 114A, 114B, 116A, 116B) having a defect caused by a defective part (DP) (99) in the first selected regions, is produced; a neural network (NN) (150) is trained to detect the defect using the first set SIs. In a subsequent detection phase: the NN is applied for identifying, in a second digital image (SDI) (136, 146) acquired from an image produced by the DPS, suspected second regions (135, 145); for each of the second regions, a second set (137, 147) of SIs having DPs that form the defects, is produced; and the DP is identified by comparing, in each of the second regions, between the SDI and the second set SIs.