To provide an image reading apparatus capable of informing a user of the status of the image reading apparatus in a form understandable to the user without increasing a size or a cost, a control method of the image reading apparatus, and a program, explanatory image data is transmitted to a host computer instead of document image data in a case where an abnormality in the image reading apparatus is detected.

At the time of copying a smaller document and a larger document on output sheets having the same size, in a first case where a first document is smaller and a second document is larger, a printing control unit analyzes a content of the second document, and copies the first document and the second document on output sheets having sizes corresponding to the analysis result. In a second case where the first document is larger and the second document is smaller, a content of the first document is analyzed, and the first document and the second document are copied on output sheets having sizes corresponding to the analysis result.

An apparatus for scaling images is provided that includes at least two input ports, a scaling component coupled to the at least two input ports, the scaling component including a plurality of scalers, the scaling component configurable to map any scaler to any input port of the at least two input ports and configurable to map more than one scaler to any input port, and a memory coupled to the at least two input ports and to outputs of the plurality of scalers, the memory configured to store image data for each input port and scaled image data output by the plurality of scalers.

One pixel unit is composed of plural kinds of basic pieces having plural kinds or three or more kinds of gradations. Basic pieces of predetermined gradations corresponding to an outline or shade of the drawing image is placed at each pixel on the drawing surface to fill the pixels on the drawing surface with the basic pieces, thereby making a desired drawing image. A predetermined background pattern is formed in the drawing image by using the geometric pattern of the basic piece.

Image quality degradation of an output image can be reduced. A control unit includes a correction intensity determination unit that determines a first magnification for reducing a reduction region including a subject and a second magnification for enlarging an enlargement region and an image correction unit that corrects an input image by using the first magnification and the second magnification. The correction intensity determination unit determines the first magnification based on the second magnification and the widths of a first region and a second region in the input image.

This application provides an imaging method. The imaging method is applied to an imaging apparatus including a color camera and a black-and-white camera, and resolution of the black-and-white camera is higher than resolution of the color camera; and the imaging method includes: obtaining a zoom magnification; simultaneously capturing a color image and a black-and-white image of a target scene, where resolution of the black-and-white image is higher than resolution of the color image; performing cropping processing on the black-and-white image and the color image separately based on the zoom magnification, where the cropped black-and-white image and the cropped color image have a same field of view; and merging the cropped color image and the cropped black-and-white image to obtain an output image of the target scene. Therefore, according to the optical imaging method provided by embodiments of this application, the obtained output image can have a better optical zoom capability.

In an image processing apparatus, in a case where setting values indicate to create scan data by using digital halftoning and requires execution of a prescribed process using a result of character recognition, a controller outputs an instruction to create multiple-value scan data having a pixel value represented by two or more bits. The controller executes the character recognition on the multiple-value scan data. The controller converts the multiple-value scan data into converted scan data by using digital halftoning, and executes the prescribed process on the converted scan data. In a case where the setting values indicate to create scan data by using a method different from the digital halftoning, and requires execution of the prescribed process, the controller outputs an instruction to create setting-based scan data. The controller executes the character recognition on the setting-based scan data. The controller executes the prescribed process on the setting-based scan data.

A method of controlling an image forming apparatus having an image reading unit capable of conveying and reading a plurality of documents of different sizes includes determining whether an automatic magnification function is set in a case where an instruction to read a plurality of documents of different sizes is given, and performing control such that, in a case where the determining determines that the automatic magnification function is not set, a first document reading mode in which the plurality of documents is conveyed at a constant conveyance speed and is read is set to the image reading unit, and, in a case where the determining determines that the automatic magnification function is set, a second document reading mode in which the plurality of documents is conveyed at a different conveyance speed for each document and is read is set to the image reading unit.

An image processing apparatus includes: a code detector configured to detect a code included in image data, and a number-of-pixels converting unit configured to increase the number of pixels of the image data by converting the number of pixels of the image data by a factor of N, wherein, when N is a non-integer, the number-of-pixels converting unit converts the number of pixels in a first region including the code in the image data by an integer factor and converts the number of pixels in a second region different from the first region in the image data by a factor of N.

A visualization engine is configured to generate a network visualization that represents the evolution of a network over time. The visualization engine generates the network visualization based on a network dataset that describes various nodes within the network, and links between those nodes, over a sequence of time intervals. Initially, the visualization engine generates a stable simulated network based on initial network data, and then subsequently animates changes to that simulated network that derive from differences between the initial network data and subsequent network data. The visualization engine visually indicates changes to different nodes in the network via color changes, size changes, and other changes to the appearance of nodes.