A system previously generates a plurality of neural networks by performing learning based on an image data pair generated based on identical original data and differing in resolution. Then, the system determines one neural network out of the plurality of neural networks based on a resolution of input image data and a resolution of an image to be output, acquires post-conversion image data based on the determined neural network and the input image data, and performs outputting that is based on the post-conversion image data.

An image reading apparatus acquires first image data of a background portion stored in advance and read by a reading unit, acquires second image data by reading the background portion, generates third image data by increasing resolution of the first image data and fourth image data by increasing resolution of the second image data, detects an amount of shift of an image sensor relative to a lens array in a predetermined direction by shifting a specific pixel range of the fourth image data relative to the third image data and comparing the specific pixel range with the third image data, and compares fifth image data obtained by shifting the fourth image data in accordance with the shift amount with the third image data, so as to determine whether each of pixels included in the fifth image data is a defective pixel having an abnormal value.

An image reading apparatus acquires first image data of a background portion stored in advance and read by a reading unit, acquires second image data by reading the background portion, generates third image data by increasing resolution of the first image data and fourth image data by increasing resolution of the second image data, detects an amount of shift of an image sensor relative to a lens array in a predetermined direction by shifting a specific pixel range of the fourth image data relative to the third image data and comparing the specific pixel range with the third image data, and compares fifth image data obtained by shifting the fourth image data in accordance with the shift amount with the third image data, so as to determine whether each of pixels included in the fifth image data is a defective pixel having an abnormal value.

A computer program product and apparatus suitable may perform operations including receiving a first digital image, and identifying a pixel resolution of a display, the pixel resolution of the display being less than a pixel resolution of the first digital image. The operations may further include providing first data to the display to cause display of the first digital image at an image resolution adapted to the identified pixel resolution, wherein a section of the first digital image displayed on the display includes a first area of the display. The operations may further include receiving a user-initiated instruction to zoom in on the section of the first digital image, and providing, in response to receiving the user-initiated instruction, second data to the display to cause display of the section of the first digital image over a second area of the display that is greater than the first area.

There is provided a photo album creation system configured to create album data used to create an album in which a plurality of images are laid out accepts editing for an image used for the album data; decides, based on information of each of the plurality of images, a resolution when printing the album before the acceptance of the editing; decides, based on the resolution decided by the first decision unit, a threshold used to make a warning; and makes a warning for an image whose resolution is less than the threshold based on a result of editing performed by the editing unit for the image used for the album data.

There is provided a technology for enabling a user to recognize gradation of a captured image with high accuracy, when the user checks a substitute image displayed in substitution for the captured image. An electronic apparatus divides a captured image into a plurality of partial areas, generates each of histograms for the respective partial areas, the histograms each representing a number of pixels of each gradation, and outputs the generated histogram to an apparatus that displays a substitute image having a data size smaller than a data size of the captured image.

An image processing apparatus is an image processing apparatus that performs image processing on first image information of a target first image. The image processing apparatus has a controller and a first storage device which stores second image information of a second image. The controller reads the second image information stored in the first storage device, changes a resolution of the read second image information to a first resolution which is the same as a resolution of the first image information, and combines the first image information and the second image information based on the first image information and the second image information of which resolution is changed to the first resolution.

A system and method for converting imaging data, for example, medical imaging data, to three-dimensional printer data Imaging data may be received describing for example a three-dimensional volume of a subject or patient. Using printer definition data describing a particular printer, 3D printer input data may be created from the imaging data describing at least part of the three-dimensional volume.

A visibility adjusting unit (22) displays on the display device (15a) a user interface to specify a visibility level, detects with the input device (15b) a user operation performed to the user interface such that the user operating specifies a visibility level, determines the visibility level based on the detected user operation, and converts the determined visibility level to a resolution in accordance with a predetermined conversion rule. The scan control unit (21) specifies to the image scanning unit (11) the resolution obtained in the conversion performed by the visibility adjusting unit (22) and causes the image scanning unit (11) to generate image data of the document image, and converts the generated image data to image data of a specified data type.

An image inspection device detects an abnormality of a formed image by comparing imaged data obtained by imaging the formed image with original image data of the formed image. The image inspection device includes a hardware processor that: adjusts the original image data to reduce sharpness of the original image data; and detects the abnormality by comparing the adjusted original image data with the obtained imaged data. The hardware processor partly restricts the reduction of the sharpness.