An image forming apparatus includes a conversion unit configured to convert image data based on a conversion condition, an image forming unit configured to form an image on a sheet based on the converted image data, a detection unit configured to detect a pattern image on a transfer member, a reading unit configured to read a test image formed on a sheet, a controller configured to perform calibration based on a reading result of the reading unit, and a reception unit. In a case where the calibration is performed, the controller determines an image forming condition based on a result of detection by the detection unit before the test image is formed. In a case where the reception unit receives the discontinuation instruction, the controller changes the image forming condition to an image forming condition before the pattern image is formed.

An image forming apparatus includes: a raster image processing unit configured to convert original image data into image data for image formation being of a raster image; an image forming unit configured to form an image on a paper sheet; a reading unit configured to generate read image data by reading the image formed on the paper sheet; a monitor setting unit configured to set a monitor setting color and an ideal value for the monitor setting color; a color tone monitoring unit configured to monitor a color tone difference between a value of the read image data in the monitor setting color and the ideal value; and a hardware processor configured to perform control to have color correction performed in the image forming unit, wherein the monitor setting color includes at least one of a primary color, a secondary color, a tertiary color, and a tertiary achromatic color.

An image forming apparatus receives a print setting for image data, determines a density correction table to be applied to a position of a pixel in the image data based on the received print setting from among a plurality of stored density correction tables, and corrects a density of the image data using the determined density correction table.

An image processing device, an image processing method, and an image processing program capable of appropriately correcting contrast even for an image in which the amplitude of the reflection rate differs for each local area of the image. An image processing device, including a signal intensity extraction unit configured to extract signal intensity of an input image; a peripheral region reference value calculator configured to calculate a peripheral region reference value based on the signal intensity of a peripheral region located around a small region of interest; and an emphasis degree determination unit configured to determine an emphasis degree of the signal intensity so as to increase the signal intensity of the small region, wherein the signal intensity is defined as a reflection rate in the input image input to the image processing device, the small region is defined as a region which is a part of the input image.

An image reading apparatus includes an image data obtaining unit, a foreign material position information obtaining unit, and a separation processor. The image data obtaining unit obtains image data read from a document passing over a read area. The foreign material position information obtaining unit obtains foreign material position information read from the read area in which the document is not present. The separation processor separates the image data into plural objects including a background object, detects, by using the foreign material position information, a streak image portion caused by foreign material in the read area and included in the image data, and assumes a pixel of the streak image portion to belong to the background object if the pixel is present in the background object and has a pixel value equal to or smaller than a threshold determined in accordance with a representative value of the background.

An image reading apparatus includes an image data obtaining unit, a foreign material position information obtaining unit, and a separation processor. The image data obtaining unit obtains image data read from a document passing over a read area. The foreign material position information obtaining unit obtains foreign material position information read from the read area in which the document is not present. The separation processor separates the image data into plural objects including a background object, detects, by using the foreign material position information, a streak image portion caused by foreign material in the read area and included in the image data, and assumes a pixel of the streak image portion to belong to the background object if the pixel is present in the background object and has a pixel value equal to or smaller than a threshold determined in accordance with a representative value of the background.

An image processing apparatus has a storage configured to store image data representing a color image, the image data being constituted by multiple pixels, each of the multiple pixels having a gradation value, and a controller. The controller is configured to extract pixels, from among the multiple pixels, within a specific color range as target pixels, adjust the gradation values of the target pixels such that brightness values of the target pixels are lowered, generate a histogram of index values corresponding to quantities of the brightness values of the multiple pixels constituting the image data after the gradation values of the target pixels are adjusted, set a first threshold value based on the histogram as generated, and apply a binarizing process to the image data using the first threshold value.

A document type recognition apparatus includes an image region separation unit, a smoothing unit, an edge enhancement unit, a histogram creation unit, and a document type recognition unit. The image region separation unit outputs a signal indicative of each region obtained by separating an input image into a character region and a pattern region. The smoothing unit performs smoothing processing to remove halftone dots of a particular number of lines or greater in the pattern region of the input image. The edge enhancement unit outputs an image subjected to edge enhancement processing depending on an amount of edge on an edge portion of the character region in the input image subjected to the smoothing processing. The histogram creation unit creates a histogram of the image subjected to the edge enhancement processing. The document type recognition unit recognizes a document type of the input image by utilizing the histogram.

An image processing device includes: an image classifying section which, through a convolutional neural network, classifies each pixel of input image data as expressing or not expressing a handwritten image to calculate a classification probability of each pixel, the classification probability being a probability that the handwritten image is expressed; a threshold setting section which sets a first threshold when removal processing to remove the handwritten image is performed and a second threshold which is smaller than the first threshold when emphasis processing to emphasize the handwritten image is performed; and an image processor which adjusts a gradation value of pixels with a classification probability no smaller than the first threshold to remove the handwritten image when the removal processing is performed and adjusts the gradation value of pixels with a classification probability no smaller than the second threshold to emphasize the handwritten image when the emphasis processing is performed.

A method, computer system, and a computer program product for image capture prevention is provided. The present invention may include, in response to embedding at least one digital security mark in a visual communication, securing the visual communication. The present invention may also include preventing, based on the embedded at least one digital security mark, an image capture of the secured visual communication.