An electronic device is provided. The electronic device includes a display, at least one processor, and at least one memory configured to store instructions that cause the at least one processor to obtain first information from a first still image frame that is included in a first moving image, obtain second information from the first moving image, identify at least one image function based on at least one of the first information or the second information, and control the display to display at least one function execution object for executing the at least one image function. Various other embodiments can be provided.

In a system, a setting window including at least a preview region in which a scanned image is previewed and a text field to which attribute information on the scanned image is input is displayed, when a character region within the scanned image previewed in the setting window is moused over, control to preliminarily display a character string corresponding to the moused-over character region in the text field is performed, and when the moused-over character region is clicked by a mouse, control to fix the character string preliminarily displayed in the text field is performed.

In a system, a setting window including at least a preview region in which a scanned image is previewed and a text field to which attribute information on the scanned image is input is displayed, when a character region within the scanned image previewed in the setting window is moused over, control to preliminarily display a character string corresponding to the moused-over character region in the text field is performed, and when the moused-over character region is clicked by a mouse, control to fix the character string preliminarily displayed in the text field is performed.

The present disclosure relates to a method for generating a quick response QR code and a printing apparatus, a method for generating a quick response (QR) code, comprising obtaining an original image of the QR code, wherein the original image of the QR code is a bitmap image and is a color image or a grayscale image; obtaining information contained in the QR code; and generating a monochrome image of the QR code based on the information.

An auto-rotation module having a single-layer neural network on a user device can convert a document image to a monochrome image having black and white pixels and segment the monochrome image into bounding boxes, each bounding box defining a connected segment of black pixels in the monochrome image. The auto-rotation module can determine textual snippets from the bounding boxes and prepare them into input images for the single-layer neural network. The single-layer neural network is trained to process each input image, recognize a correct orientation, and output a set of results for each input image. Each result indicates a probability associated with a particular orientation. The auto-rotation module can examine the results, determine what degree of rotation is needed to achieve a correct orientation of the document image, and automatically rotate the document image by the degree of rotation needed to achieve the correct orientation of the document image.

A system and method for deconstructing a document is described herein, where the method is an improvement over existing document deconstruction techniques. These improvements increase speed and accuracy by rapidly identifying the source in a document by splitting the document into a plurality of sections and performing a perceptual image hashing on each section. Then a hamming distance is used to compare the hash for each section with the hashes of known documents to identify the source who sent the document.

An information processing apparatus includes a storage device to store, for a plurality of sample media, for each of a plurality of applications, setting information relating to imaging of a medium or an image processing, and image information relating to a sample image generated according to the setting information, a communication device, and a processor to receive an input image from an image reading apparatus via the communication device, extract a predetermined number of sample media in a descending order of a similarity between a corresponding sample image and the input image, from among the plurality of sample media, based on the image information, identify the setting information for each of the plurality of applications for each of the extracted predetermined number of sample media, and output the identified setting information for each of the plurality of applications.

A visible light sensor may be configured to sense environmental characteristics of a space using an image of the space. The visible light sensor may be controlled in one or more modes, including a daylight glare sensor mode, a daylighting sensor mode, a color sensor mode, and/or an occupancy/vacancy sensor mode. In the daylight glare sensor mode, the visible light sensor may be configured to decrease or eliminate glare within a space. In the daylighting sensor mode and the color sensor mode, the visible light sensor may be configured to provide a preferred amount of light and color temperature, respectively, within the space. In the occupancy/vacancy sensor mode, the visible light sensor may be configured to detect an occupancy/vacancy condition within the space and adjust one or more control devices according to the occupation or vacancy of the space. The visible light sensor may be configured to protect the privacy of users within the space via software, a removable module, and/or a special sensor.

An image processing apparatus and method are provided which quantifies sharpness of one or more areas in an image. The sharpness processing includes acquiring an image from an image capturing apparatus, obtaining an object information characterizing a position of an object within the captured image, and controlling, based on a sharpness of each of a plurality of regions identified within the captured image according to the object information, an unit such that a sharpness information representing a numeric value regarding a sharpness of the captured image is displayed with the captured image.

There are provided a line sensor (110) including two first sensor pixel rows (11a, 111b) and a second sensor pixel row (112a); an image obtaining unit (140) to obtain, from electrical signals obtained by scanning an original in a sub-scanning direction with the two first sensor pixel rows (111a, 111b), two first read image data items, and obtain, from electrical signals obtained by scanning the original in the sub-scanning direction with the second sensor pixel row (112a), a second read image data item; and an image processor (150) to incorporate one or more pixel data items of one or more pixels included in an interval between the two first sensor pixel rows (111a, 111b) out of the second read image data item into the two first read image data items, thereby generating a line image data item in which the one or more pixels in the interval are not vacant.