Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for obtaining a first image of a document, the first image including first glare shown on a first portion of the document. Detecting, in the first image, the first glare shown on the first portion of the document. In response to detecting the first glare in the first image, obtaining a second image of the document, the second image including second glare shown on a second portion of the document. Generating, from the first image and the second image, a third image of the document that includes less glare than the first glare in the first image and less glare than the second glare in the second image.

A slide scanner as a stand-alone device that is able to function without a computer and comprises a magazine guide for different slide magazines, such as universal, LKM, CS and/or Paximat magazines.

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.

Embodiments relate to a pixel defect detection circuit for detecting and correcting defective pixels in captured image frames. The pixel defect detection circuit includes a defect pixel location table that maps pixel locations in an image frame to respective confidence values, each confidence value indicating a likelihood that a corresponding pixel is defective. The pixel defect detection circuit further includes a dynamic defect processing circuit configured to determine whether a first pixel of an image frame is defective, and a flatness detection circuit configured to determine whether the first pixel is in a flat region of the image frame. The confidence value corresponding to the location of the first pixel is updated based upon whether the first pixel is determined be defective if the first pixel is determined to be in a flat region, and not updated if the first pixel is determined to not be in a flat region.

An image reading apparatus includes: a light source; a reference sheet that reflects light emitted from the light source; a light-receiving lens that converges the reflected light; a reading sensor that reads the light converged by the light-receiving lens; and a hardware processor that: based on first white data obtained when the reading sensor reads the reference sheet for the first time, determines whether the reference sheet or the reading sensor has dust; in response to determining that the reference sheet or the reading sensor has dust, produces ideal initial white reference data by complementing the first white data with second white data obtained when the reading sensor reads the reference sheet for the second and subsequent times; and with the ideal initial white reference data, complements third white data obtained when the reading sensor reads the reference sheet right before reading an image of a job.

Embodiments relate to a pixel defect detection circuit for detecting and correcting defective pixels in captured image frames. The pixel defect detection circuit includes a defect pixel location table that maps pixel locations in an image frame to respective confidence values, each confidence value indicating a likelihood that a corresponding pixel is defective. The pixel defect detection circuit further includes a dynamic defect processing circuit configured to determine whether a first pixel of an image frame is defective, and a flatness detection circuit configured to determine whether the first pixel is in a flat region of the image frame. The confidence value corresponding to the location of the first pixel is updated based upon whether the first pixel is determined be defective if the first pixel is determined to be in a flat region, and not updated if the first pixel is determined to not be in a flat region.

An image reading device includes a reading unit that reads a document sheet and a reading standard surface and outputs read values corresponding to pixels arranged in a main scan direction, a control unit that processes the read values, and a storage unit storing information to be referenced by the control unit. In the storage unit, first data that is read values of the reading standard surface and serves as standards, and second data on ranges of variation, based on a change in a temperature, in the read values are stored. The control unit determines, based on the first data and the second data read from the storage unit and third data obtained by reading the reading standard surface after an acquisition of the first data, whether an abnormality exists in the pixels.

In accordance with an embodiment, in an image processing apparatus which includes an arithmetic element and executes an image processing on a first image data read by a scanner from a manuscript including a printing area, the arithmetic element acquires the first image data from the scanner, generates second image data by executing an image processing on the first image data, recognizes the printing area in the first image data based on the second image data, and cuts out an image in the printing area from the first image data as a third image data.

A method is described in which a printed image which has been printed by a printer based on a printing template is repaired. A damaged area of the printed image is identified and a reprinting segment on the printed image is determined such as to overlap the identified damaged area. With the printer a layer of printing fluid is printed over the damaged image and a correction printing template is printed. The correction printing template includes a segment of the printing template that corresponds to the reprinting segment of the printed image.

A reference image of an image capture device is processed to detect multiple image flaws caused by defects or corruption items of the image capture device (510). Data corresponding to an image map of flaws for the image capture device are stored (520). For subsequent images, flaws in the captured image are corrected using the image map of flaws (530).