Hewlett-packard Development Company, L.P.

Purdue Research Foundation

Zuguang Xiao

Jan Philip Allebach

Mark Edward Shaw

Richard Eric Maggard

Amy Ruth Reibman

Brent Michael Bradburn

Shaoyuan Xu

Lu Wang

Katelyn Christene Morse

Mengqi Gao

Pixel blocks of a user-generated print job raster page are clustered into raster color clusters, and pixel blocks of a corresponding scanned page are clustered into scanned color clusters. For each raster color cluster, if a color difference between the cluster and a corresponding scanned color cluster is greater than a threshold, color fading of the cluster is determined from simulated depletion of each colorant of a printing device, and a likely depleted colorant is determined based on the corresponding scanned color cluster and the determined color fading. A most likely depleted colorant is determined from the likely depleted colorant predicted for each raster color cluster for which the determined color difference is greater than the threshold.

Predicting depleted printing device colorant from color fading

In some examples, print quality diagnosis may include aligning corresponding characters between a scanned image of a printed physical medium aligned to a master image associated with generation of the printed physical medium to generate a common mask. Print quality diagnosis may further include determining, for each character of the scanned image, an average value associated with pixels within the common mask, and determining, for each corresponding character of the master image, the average value associated with pixels within the common mask. Further, print quality diagnosis may include determining, for each character of the common mask, a metric between the average values associated with the corresponding characters in the scanned and master images.

Print quality diagnosis

In an example, a method is described that includes dividing an input image into a plurality of strips, where each strip is smaller than a whole of the input image. A plurality of binary images is then generated, where each of the binary images corresponds to one of the strips. Connected component labeling is performed on the binary images, one binary image at a time. An object map for the input image is then generated based on the results of the connected component labeling.

Generating an object map from a plurality of binary images

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Indianapolis, IN, United States of America

Zuguang Xiao