An image capturing device in the present embodiment has a configuration that is provided with an image splitting unit 21 and an edge extracting unit 22 that acquire the edge component for each block image that has been divided from an image captured by an image sensor 10, a resolution controlling unit 23 that writes each block image into a frame memory 30 with a resolution in accordance with the amount of its edge component, an image enlarging unit 24 that reads out at least one block image that corresponds to a selected region from the frame memory 30 and enlarges the block image with a magnification in accordance with the size of the selected region, and an enlarged output unit 45 that outputs the enlarged block image that corresponds to the selected region that is supplied from the image enlarging unit 24.

This application relates to systems and methods for scaling and assembling framed images, and to offering the framed images for purchase. In some embodiments, a computing device is configured to receive a first customer selection of a frame style and a frame size, where the frame size indicates dimensions of a frame window. The computing device is also configured to receive a second customer selection of a mat style. Further, the computing device is configured to determine, based at least on the dimensions of the frame window and the mat style, a mat size, where the mat size includes dimensions of a mat window. The computing device is also configured to determine, based at least on the dimensions of the mat window, an image size for an image. For example, the computing device may execute a rule-based model, or a machine learning model, to determine the image size.

This application relates to systems and methods for scaling and assembling framed images, and to offering the framed images for purchase. In some embodiments, a computing device is configured to receive a first customer selection of a frame style and a frame size, where the frame size indicates dimensions of a frame window. The computing device is also configured to receive a second customer selection of a mat style. Further, the computing device is configured to determine, based at least on the dimensions of the frame window and the mat style, a mat size, where the mat size includes dimensions of a mat window. The computing device is also configured to determine, based at least on the dimensions of the mat window, an image size for an image. For example, the computing device may execute a rule-based model, or a machine learning model, to determine the image size.

A print engine physically prints an image to be printed on a print sheet in an inkjet manner. A correction processing unit performs a correction process for a specific image column range corresponding to a configuration or a status of the print engine. Further, when performing duplex printing on first and second surfaces of the print sheet, the correction processing unit performs an image shrinking process for an image to be printed on the second surface in accordance with shrinking the print sheet due to ink ejection to the first surface, and Furthermore, the correction processing unit selects an image column range other than the specific image column range in the image to be printed on the second surface as a target image column range for which the image shrinking process should be performed.

A control method for an image processing apparatus includes displaying a display area that includes a printable area corresponding to an area to be printed on a recording medium and a non-printable area corresponding to an area not to be printed and in which at least one image that is a printing target is to be arranged, display a setting area, other than the display area, for accepting an operation for automatically changing, within the display area, a position of the at least one image arranged in the display area, and, upon accepting the operation on the setting area, automatically changing a position of a predetermined image arranged in an uppermost portion of the display area and a position of at least part of a crop mark, the part being set above the predetermined image, such that the predetermined image and the part fall within the printable area.

A control method for an image processing apparatus includes displaying a display area that includes a printable area corresponding to an area to be printed on a recording medium and a non-printable area corresponding to an area not to be printed and in which at least one image that is a printing target is to be arranged, display a setting area, other than the display area, for accepting an operation for automatically changing, within the display area, a position of the at least one image arranged in the display area, and, upon accepting the operation on the setting area, automatically changing a position of a predetermined image arranged in an uppermost portion of the display area and a position of at least part of a crop mark, the part being set above the predetermined image, such that the predetermined image and the part fall within the printable area.

An apparatus for scaling images includes one or more processors and one or more computer-readable storage media on which computer-executable instructions are stored. The computer-executable instructions, upon being executed by the one or more processors, provide for execution of the following steps: capturing one or more first images by an imaging and/or image recording system, wherein the one or more captured first images are related to a first resolution; and generating, by a neural network, one or more corresponding second images based on one or more captured first images, wherein the one or more second images are related to a second resolution, the first resolution differing from the second resolution.

The multifunction peripheral of the present invention includes an ADF document crop function. According to this ADF document crop function, front side image shaping processing for cutting out a front side document image corresponding to the image on the front side of a document, from a front side read image of the document and for correcting the tilt of the front side document image is performed. Then, on the basis of shaping information in the front side image shaping processing, back side image shaping processing for cutting out a back side document image from a back side read image of the document and for correcting the tilt of the back side document image is performed.

The present disclosure discloses an image super-resolution processing method and device. A plurality of image processing engines with different resolutions are provided, and the image processing engines include a general engine and a special engine. The method includes: obtaining a to-be-processed target image, and determining whether a target engine matched with the target image exists in the general engine according to a resolution of the target image; in response to the target engine exists, selecting the target engine to perform super-resolution processing on the target image; and in response to the target engine does not exist, preprocessing the resolution of the target image into an input resolution supported by the special engine, and selecting the special engine to perform super-resolution processing on the preprocessed target image.

The present disclosure discloses an image super-resolution processing method and device. A plurality of image processing engines with different resolutions are provided, and the image processing engines include a general engine and a special engine. The method includes: obtaining a to-be-processed target image, and determining whether a target engine matched with the target image exists in the general engine according to a resolution of the target image; in response to the target engine exists, selecting the target engine to perform super-resolution processing on the target image; and in response to the target engine does not exist, preprocessing the resolution of the target image into an input resolution supported by the special engine, and selecting the special engine to perform super-resolution processing on the preprocessed target image.