With this invention, color shifting correction is performed first based on shifting amount information indicating a shifting amount with respect to the scanning direction on an image carrier of each image forming unit, and halftone processing is then performed, thus suppressing generation of moiré due to the color shifting correction, and forming a high-quality image. To this end, an image forming engine has color shifting amount storage units C, M, Y, and K (black) which store actual shifting amounts with respect to ideal scan directions on image carriers C, M, Y, and K in image forming units C, M, Y, and K. Color shifting correction amount arithmetic units C, M, Y, and K calculate color shifting correction amounts for respective color components on the basis of the stored color shifting amounts. Color shifting correction units C, M, Y, and K perform color shifting correction by converting coordinates upon reading out image data from bitmap memories C, M, Y, and K on the basis of the calculated color shifting correction amounts, and then perform tone correction. Data after tone correction undergo halftone processing by halftone processors. C, M, Y, and K. PWM processors C, M, Y, and K generate PWM signals for scanning, and output them to exposure units C, M, Y, and K of the respective image forming units.

Provided is an image reading system capable of improving the image quality of a document in which text and images are mixed in the same page. A camera captures a document in page units to obtain captured image data. A document reading unit is an image scanner having a higher resolution than the camera. An area classifying unit classifies the captured image data captured by the camera into areas for each content. An area selecting unit selects, for each classified area, whether to output captured image data based on the area classification and the state of the captured image data. An image processing unit processes the captured image data or the scanned image data for each area, and outputs or deletes the data as area data. The document output unit collects the processed area data, reconstructs the data into document data, and outputs the document data.

A method for processing images generated by unsupervised end-users, the method comprising determining whether or not at least one digital image of a document was generated by scanning an original document, including using a processor for applying a resolution analysis test to a textured region of interest; and sending at least one output indication of the determining operation.

An information processing device includes a processor configured to: receive a registration of information to be processed by a specific service from multiple registration methods; associate the received information with the registration method used to register the information; and cause the registration method associated with each of the information to be displayed on a list screen displaying a list of the received information.

An image processing device includes an image reader that reads an image, a first determiner that determines whether character crushing occurs when the image is binarized, a second determiner that determines a rate of a photographic region in the image, and a controller that performs conversion into monochrome N-gradation image data based on determination results of the first and second determiners.

An information processing apparatus includes a processor configured to convert the values of pixels in a glossy region of process target image data by inputting the process target image data to a first learning unit that has been trained using, as first learning data, first read image data and second read image data so as to convert the first read image data into the second read image data. The glossy region corresponds to a glossy portion of a document. The first read image data include the glossy region, and are obtained by optically reading the document in a first reading environment in which the light amount of regularly reflected light from a learning data document acquired by an image sensor is less than a regularly reflected light amount threshold. The second read image data include the glossy region, and are obtained by optically reading the document in a second reading environment in which the light amount of the regularly reflected light acquired by the image sensor is equal to or more than the regularly reflected light amount threshold. The process target image data are obtained by optically reading a process target document in the first reading environment.

Processing a dithered image comprising a grid of pixels including defining an array of pixels corresponding to a sub-region of the image; performing edge detection along the rows and the columns of the array; counting the number of edges detected along the rows of the array to determine the number of horizontal edges in the array; counting the number of edges detected along the columns of the array to determine the number of vertical edges in the array; identifying whether the sub-region is dithered based on the number of horizontal and vertical edges in the array; and selectively processing the corresponding sub-region of the image based on whether or not the sub-region is identified to be dithered. The identification step may also be based on the lengths of segments of similar pixels in the lines of the array.

An image processing apparatus performs: acquiring target image data representing a target image including a plurality of pixels, the target image data including a plurality of sets of component image data representing respective ones of a plurality of component images; smoothing the plurality of component images to generate respective sets of a plurality of sets of smoothed component image data representing respective ones of a plurality of smoothed component images; enhancing an edge in each of the plurality of smoothed component images to generate corresponding one set of a plurality of sets of enhanced component image data; generating single-component image data including one type of component value corresponding to each of the plurality of pixels by using the plurality of sets of enhanced component image data; and specifying a plurality of edge pixels using the single-component image data, the plurality of edge pixels constituting an edge in the target image.

In an example method, a first dot pattern of shadow dots and second dot pattern of highlight dots is generated. The first dot pattern and second dot pattern include information to be encoded across the image. The first dot pattern and the second dot pattern are mapped to a corresponding subset of the greyscale source pixels, the greyscale source pixels corresponding to an image to be printed. A value of a greyscale pixel in the subset of the greyscale source pixels is modified based on a predetermined threshold pixel value. The value of the greyscale pixel is set to a highlight dot value in response to detecting that the predetermined threshold pixel value is exceeded or set to a shadow dot value in response to detecting that the predetermined threshold value is not exceeded. The image including the subset of pixels with modified values is printed.

The present disclosure relates to systems, non-transitory computer-readable media, and methods for utilizing intelligent sectioning and selective document reflow for section-based printing. For example, the disclosed systems can intelligently identify document objects (e.g., document structures and sections) within a digital document by utilizing a machine-learning model. In so doing, the disclosed systems can identify document-object types and document-object locations for the document objects in the digital document. In turn, the disclosed systems can provide, for display within a dynamic printing interface, selectable document sections comprising the identified document objects. In response to a user selection of one or more of the selectable document sections, the disclosed system can generate a modified digital document for printing by reflowing the identified document objects in accordance with the user selection. In some cases, reflowing comprises removing unselected document objects and/or repositioning one or more of the selected document objects.