A method of operating a printer separates the image data content of a sheet in a print job into multiple color separations. The first color separation printed on the sheet includes at least two fiducials printed in the least perceptible color of ink in the printer. The at least two fiducials are used to identify the process direction and skew of the printed sheet before the remaining color separations are printed on the sheet with the first color separation.

A method of operating a printer separates the image data content of a sheet in a print job into multiple color separations. The first color separation printed on the sheet includes at least two fiducials printed in the least perceptible color of ink in the printer. The at least two fiducials are used to identify the process direction and skew of the printed sheet before the remaining color separations are printed on the sheet with the first color separation.

Images in a first drawing region on a first reading surface and in a second drawing region on a second reading surface of a both-surface targeted document satisfy both-surface targeted conditions. Images in a first drawing region on a first reading surface and in a second drawing region on a second reading surface of a non-target document satisfy non-target conditions. A processor causes a printing apparatus to execute both-surface pattern print processing for the both-surface targeted document. The processor causes the printing apparatus to execute idle feed processing for the non-target document. The both-surface pattern print processing includes processing in which a first pattern image is formed on the second reading surface and processing in which a second pattern image is formed in a region including the first drawing region on the first reading surface.

Images in a first drawing region on a first reading surface and in a second drawing region on a second reading surface of a both-surface targeted document satisfy both-surface targeted conditions. Images in a first drawing region on a first reading surface and in a second drawing region on a second reading surface of a non-target document satisfy non-target conditions. A processor causes a printing apparatus to execute both-surface pattern print processing for the both-surface targeted document. The processor causes the printing apparatus to execute idle feed processing for the non-target document. The both-surface pattern print processing includes processing in which a first pattern image is formed on the second reading surface and processing in which a second pattern image is formed in a region including the first drawing region on the first reading surface.

Provided are a substrate inspecting unit capable of reducing image data labeling work time through training image data set verification and semi-automatic image labeling, and at the same time, improving prediction performance by improving classification accuracy for data sets, and a substrate treating apparatus including the same. The substrate inspecting unit comprises a feature extracting module for extracting a feature from training data included in each class in response to a plurality of training data related to image data of a substrate being classified according to a predefined class, a validity evaluating module for evaluating validity of the feature, a class verifying module for verifying the predefined class, and a data reconstructing module for reconstructing the plurality of training data based on a feature determined as valid and a verified class, wherein reconstructed training data is utilized when inspecting the substrate.

Provided are a substrate inspecting unit capable of reducing image data labeling work time through training image data set verification and semi-automatic image labeling, and at the same time, improving prediction performance by improving classification accuracy for data sets, and a substrate treating apparatus including the same. The substrate inspecting unit comprises a feature extracting module for extracting a feature from training data included in each class in response to a plurality of training data related to image data of a substrate being classified according to a predefined class, a validity evaluating module for evaluating validity of the feature, a class verifying module for verifying the predefined class, and a data reconstructing module for reconstructing the plurality of training data based on a feature determined as valid and a verified class, wherein reconstructed training data is utilized when inspecting the substrate.

Example implementations disclosed herein includes techniques for devices, systems, and methods for a multifunction device for generating modified documents based on a physical document comprising images and text. The modified documents are generated according to arrangements that exclude the images or the text.

Example implementations disclosed herein includes techniques for devices, systems, and methods for a multifunction device for generating modified documents based on a physical document comprising images and text. The modified documents are generated according to arrangements that exclude the images or the text.

An image processing apparatus includes a processing unit that converts first input image data for a first region and second input image data for a second region to reduce a difference between first region recorded image density and second region recorded image density, and generates dot position data of a dot to be generated in each of the first and second regions based on the dot data after the conversion processing. The acquisition unit acquires edge information indicating a first object pixel edge of an image pixel for the first region and a second object pixel edge of an image pixel for the second region. Based on the acquired edge information, conversion and generation processing are performed in such a manner that a color signal of an edge pixel is increased/reduced to a degree lower than a degree to which a color signal of a non-edge object pixel is increased/reduced.

An image processing apparatus includes a processing unit that converts first input image data for a first region and second input image data for a second region to reduce a difference between first region recorded image density and second region recorded image density, and generates dot position data of a dot to be generated in each of the first and second regions based on the dot data after the conversion processing. The acquisition unit acquires edge information indicating a first object pixel edge of an image pixel for the first region and a second object pixel edge of an image pixel for the second region. Based on the acquired edge information, conversion and generation processing are performed in such a manner that a color signal of an edge pixel is increased/reduced to a degree lower than a degree to which a color signal of a non-edge object pixel is increased/reduced.