An image processing device includes a light source, an image reader, and circuitry. The light source is configured to irradiate an object at least with invisible light. The image reader is configured to read first information and second information. The first information is included in the object and indicating a first characteristic in response to the object being irradiated with the invisible light. The second information is included in the object and indicating a second characteristic in response to the object being irradiated with the invisible light. The circuitry is configured to selectively output the first information read by the image reader.

Systems, methods, software for image filtering. In one embodiment, a system receives a raster image comprising an array of pixels, divides the raster image into regions of pixels, and identifies a region size limit for the regions. The system performs image filtering on each region with an image filter that operates based on a filter parameter that is adjustable between a first value where minimal filtering is performed and a second value where maximum filtering is performed. For the image filtering, the system measures a compressed region size of the region when compressed with a run-length encoding scheme, computes the filter parameter for the region based on the compressed region size and the region size limit, and applies the image filter on the region based on the filter parameter computed for the region to generate a filtered region having increased redundant patterns of pixel values.

An information processing apparatus includes circuitry to designate an attribute of an image object to be superimposed with an additional object and perform first identification to identify an image object indicating the attribute designated, among image objects included in image data. The circuitry performs second identification to identify an image object that has not yet been superimposed with an additional object, among image objects identified by the first identification, and generates the additional object to be superimposed on the image object identified by the second identification.

A method for eliminating one or more outlined sections of a document before printing is described herein. The method comprising receiving an input image of the document including the one or more outlined sections and a user input indicating color information of one or more outlines, identifying the one or more outlines and the one or more outlined sections of the image, obtaining the one or more outlined sections associated with the one or more outlines of the image, and outputting an output image to be printed, wherein the one or more outlined sections are eliminated from the output image of the document.

An image processing apparatus includes an acquisition unit that acquires an image; and a modifying unit that modifies the image acquired by the acquisition unit by turning an intermittent line different from a line that constitutes a character into a mark by using machine learning in a stage before the image is classified into the character and a mark by a classifying unit.

A control device sets first points on characters, generates a first frame composed of a first point and first circles, attaches first marks to points at which the first circles intersect characters, detects a range having a largest central angle and no first marks, sets second points on the first circles in the detected region, generates a second frame composed of a second point and second circles, attaches second marks to points at which the second circles intersect characters, sets a direction passing through the center portions of ranges having no second marks and the second point, sets second points arranged in the direction as the same class, calculates an approximate line connecting second points for each class, obtains straight lines indicating a row direction of characters immediately above and below an approximate line, and determines an inclination angle of an image from inclinations of the straight lines.

The image processing apparatus obtains a degree of variation in signal values of a plurality of pixels included in a region of a predetermined size that includes a pixel of interest of image data obtained by reading a document on which a halftone-processed image has been printed, obtains a feature amount indicating a brightness of the region. The apparatus updates a difference between the obtained feature amount and an index value corresponding to the obtained degree of variation in accordance with whether or not the difference is larger than a predetermined threshold, with respect to a plurality of index values respectively corresponding to a plurality of mutually different degrees of variation, decides a correction value of the pixel of interest using the updated difference and the index value, and corrects a value of the pixel of interest using the decided correction value.

An original image is read as an aggregate of a plurality of pixels in which adjacent pixels have different colors (R, G, and B) in a main scanning direction and in a sub-scanning direction, and the read pixels of the respective colors are stored in a line memory in association with information on relative positions of the pixels with respect to another pixel. Then, the stored pixels are sorted so that pixels having the same color are adjacent to each other, and an abnormal pixel (dust) not present in the original image is detected based on the state of the sorted pixels. With this, the dust not present in the original image is detected without increasing the cost, and the dust is corrected without forming a conspicuous trace of correction.

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.

An original image is read as an aggregate of a plurality of pixels in which adjacent pixels have different colors (R, G, and B) in a main scanning direction and in a sub-scanning direction, and the read pixels of the respective colors are stored in a line memory in association with information on relative positions of the pixels with respect to another pixel. Then, the stored pixels are sorted so that pixels having the same color are adjacent to each other, and an abnormal pixel (dust) not present in the original image is detected based on the state of the sorted pixels. With this, the dust not present in the original image is detected without increasing the cost, and the dust is corrected without forming a conspicuous trace of correction.