A system and method for printing with improved content builds an analytics dataset of big data built from content retrieved from an array of networked servers. When a user scans or prints their document, a print file or a scan file is analyzed for content and applied to the analytics dataset. Characteristics of the user are determined, and suggestions for modification, including additions, corrections, deletions or substitutions are rendered to the user upon printing. Additions may be automatically rewritten or rephrased to avoid direct use of content of others.

A CNN of an image forming apparatus includes: an encoder which compresses, for each tile image obtained by dividing an image into specific size pieces, information of the tile image; a decoder which restores the information of the tile image compressed by the encoder; and a blank sheet determination portion which determines whether the tile image corresponds to a blank sheet image. A segmentation image generation portion uses, when the blank sheet determination portion determines the tile image as being the blank sheet image, the blank sheet image for an image of a part corresponding to the tile image in a segmentation image, and uses, when the blank sheet determination portion determines the tile image as not being the blank sheet image, an output image of the decoder for an image of a part corresponding to the tile image in the segmentation image.

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.

An image of a check is captured by an imaging device and a digital image of the check on a replacement background may be created. The check may be placed on any background while the image of the check is being captured. The replacement background replaces, in the digital image, the background that the check is placed on while its image is being captured. The replacement background may comprise a predetermined image or color(s). The image of the check and the replacement background may be provided into a digital image file that may be transmitted to an institution system for deposit of the check into an account.

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.

Systems and methods are disclosed for content aware digital image enhancement. In particular, in one or more embodiments, the disclosed systems and methods analyze content of a digital image portraying a document with graphics and/or text and generate a cleaning confidence map. Specifically, in one or more embodiments, the disclosed systems and methods generate a cleaning confidence map indicating a likelihood that each pixel in the digital image portrays text or a graphic. Moreover, in one or more embodiments, the disclosed systems and methods utilize the cleaning confidence map as a reflection of how aggressively to modify digital images. In particular, in one or more embodiments, the disclosed systems and methods utilize the cleaning confidence map to remove shadows, identify and clean background pixels, and correct contrast in relation to the digital image.

For preferably reducing show-through in an image obtained by reading an original, an image processing apparatus: stores an index value for each of a plurality of mutually differing degrees of variation; obtains a degree of variation of signal values included in a region of interest of a predetermined size including a pixel of interest included in image data corresponding to the read image; obtains a value indicating a brightness of the region of interest; determines an amount of correction of a value of the pixel of interest using the obtained value and an index value corresponding to the obtained degree of variation; and corrects the value of the pixel of interest using the determined amount of correction.

A method, non-transitory computer readable medium and apparatus for generating an output image are disclosed. For example, the method includes receiving an image, applying a first filter, applying a second filter, calculating a difference between the image with the second filter that was applied and the image with the first filter that was applied and transmitting the difference to a sharpening module and a segmentation module to generate the output image.

An image processing apparatus includes a memory and at least one processor or circuitry or a combination thereof. The memory is configured to store determination conditions. The at least one processor or circuitry or the combination thereof is configured to acquire image data and extract a feature element from the image data. The at least one processor or circuitry or the combination thereof is further configured to determine whether the extracted feature element satisfies conditions defined in the determination conditions. The at least one processor or circuitry or the combination thereof is further configured to set an area with reference to an extracted feature element satisfying the conditions based on the determination conditions. The at least one processor or circuitry or the combination thereof is further configured to set an attribute of the area based on the determination conditions.

An image capturing method can be applied to an application, and include: determining a dimension adjustment approach set for a preset object in an acquired image to be processed after a dimension adjustment function of the application is turned on; and obtaining and displaying an adjusted image by adjusting a dimension of the preset object in the image to be processed according to the dimension adjustment approach, so as to support real-time preview of the adjusted image. As the dimension of the preset object in the image to be processed is adjusted in the image capturing process, the image capturing experience of the user is improved, and satisfying photos or videos can be obtained quickly.