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.

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.

A moire occurrence prediction means that predicts a region in which moire will occur and implements a moire suppression process only on a pattern including said region, thereby minimizing print deterioration, suppressing the occurrence of moire, and enabling high quality printing. The moire occurrence prediction means includes a communication unit for receiving an input image; a periodic structure inclusion determination unit for determining, in the input image; a periodic structure region that includes a periodic structure that induces occurrence of a moire; and a moire prediction unit for determining a risk of moire occurrence in each periodic structure region by performing a predetermined frequency analysis process with respect to each of the determined periodic structure regions, generating a moire occurrence notification that indicates the risk for each periodic structure region, and outputting the moire occurrence notification.

The system and method for super resolution processing at long standoff distances in real-time. The system collects a series of image frames and estimated the shift, rotation, and zoom parameters between each of the image frames. A matrix is generated and then an inversion is applied to the matrix to produce a super resolution image of an area of interest while mitigating the effect of any bad pixels on image quality. In some cases, the area of interest is user-defined and in some cases image chips are provided by tracking software. A fast steering mirror can be used to steer and/or dither the focal plane array.

Techniques are provided for color correction of image frames, received from a hybrid RGBIR sensor, using resolution recovery of the red, green, blue (RGB), and infra-red (IR) channels. The color correction is to compensate for IR contamination of the RGB channels. A methodology implementing the techniques according to an embodiment includes a demosaic operation on the RGBIR image frame to generate full resolution red, green, blue, and IR frames. The demosaic operation includes filtering to extract Chroma and Luma components of the RGBIR image to reconstruct the full resolution images. The method also includes calculating an IR weighting factor for the pixels of each of the full resolution RGB frames, and correcting for IR contamination of those pixels by subtracting a scaled value of the corresponding pixels from the full resolution IR frame. The scaled value is based on the IR weighting factor associated with the pixel to be corrected.

An image forming apparatus includes a photoconductor, a light source, and circuitry that receives: first image data including first pixels each indicating image density or one of turning on and off the light source; and tag data indicating an attribute of each first pixels. The circuitry sets specific data to identify a first target pixel subjected to change out of the first pixels, converts the first image data into second image data having a higher resolution than that of the first image data, and controls the light source according to the second image data to form an image. In conversion, the circuitry identifies a second target pixel corresponding to the first target pixel out of second pixels of the second image data according to the specific data and the tag data, and changes the second target pixel into a pixel to turn on the light source.

An image processing device configured to convert image data of a first resolution into image data of a second resolution higher than the first resolution includes at least one memory, and at least one processor in communication with the at least one memory and configured to cooperate with the at least one memory to calculate a direction and an intensity of an edge from the image data of the first resolution, and determine a pattern for the image data of the second resolution to be replaced by pixels of the image data of the first resolution, based on the direction and the intensity of the edge.

An information processing apparatus executes, for image data to be printed by a printing device, image processing corresponding to a content of the image data; transmits, to the printing device, image data obtained after executing the image processing; acquires, before executing the image processing, a first transfer rate with respect to the printing device and a requested transfer rate required by a print operation of a print unit of the printing device; attempts image processing for the image data; and acquires, based on the first transfer rate and information of image data obtained after the attempt, a second transfer rate required by transmission, to the printing device, of the image data obtained after the attempt and the print operation of the print unit.

An information processing apparatus includes a processor configured to convert the values of pixels in a glossy region of process target image data by inputting the process target image data to a first learning unit that has been trained using, as first learning data, first read image data and second read image data so as to convert the first read image data into the second read image data. The glossy region corresponds to a glossy portion of a document. The first read image data include the glossy region, and are obtained by optically reading the document in a first reading environment in which the light amount of regularly reflected light from a learning data document acquired by an image sensor is less than a regularly reflected light amount threshold. The second read image data include the glossy region, and are obtained by optically reading the document in a second reading environment in which the light amount of the regularly reflected light acquired by the image sensor is equal to or more than the regularly reflected light amount threshold. The process target image data are obtained by optically reading a process target document in the first reading environment.

A system and method for printing large files from a memory constrained mobile device analyzes image files to determine whether decompressing them for display or printing would result in image data exceeding device capacity. If not, the image data is displayed on the device and sent to a printer. If so, metadata in the image files is altered such that image data is generated at a lower resolution before decompression for displaying and printing.