Patent classifications
H04N1/387
Computer-readable medium, information processing device, and method for rearranging image data
A non-transitory computer-readable medium stores computer-readable instructions executable by a processor of an information processing device that includes a user interface and a display. The instructions are configured to, when executed by the processor, cause the information processing device to accept, via the user interface, an operation to specify a rearrangement condition for a plurality of pieces of image data to be obtained, obtain image data of a single sheet, determine an arrangement order for arranging first image data and second image data in accordance with the rearrangement condition specified by the accepted operation, the first image data being image data of one or more sheets obtained earlier than the second image data, the second image data being the image data of the single sheet, and display, on the display, images contained in the first image data and the second image data, to be arranged in the determined arrangement order.
Printing plate segment mounting system and method
A mounting unit, or printing system including a mounting unit, for mounting printing plate segments on a carrier sheet. The mounting unit includes a base for receiving the carrier sheet, at least two cameras, a controller for positioning the cameras relative to the base, and a computer connected to the controller and cameras. The computer is configured to receive a mounting file including a printing plate segment identifier, information regarding alignment of registration marks relative to the carrier sheet; and image data corresponding to a characteristic pattern associated with each printing plate segment. The unit is configured to display a composite image depicting the image data corresponding to the characteristic patterns in a predetermined arrangement of printing plate segment locations and orientations overlaid on an image of the carrier sheet from one of the at least two cameras.
OPTICAL DISTORTION CORRECTION FOR IMAGED SAMPLES
Techniques are described for dynamically correcting image distortion during imaging of a patterned sample having repeating spots. Different sets of image distortion correction coefficients may be calculated for different regions of a sample during a first imaging cycle of a multicycle imaging run and subsequently applied in real time to image data generated during subsequent cycles. In one implementation, image distortion correction coefficients may be calculated for an image of a patterned sample having repeated spots by: estimating an affine transform of the image; sharpening the image; and iteratively searching for an optimal set of distortion correction coefficients for the sharpened image, where iteratively searching for the optimal set of distortion correction coefficients for the sharpened image includes calculating a mean chastity for spot locations in the image, and where the estimated affine transform is applied during each iteration of the search.
OPTICAL DISTORTION CORRECTION FOR IMAGED SAMPLES
Techniques are described for dynamically correcting image distortion during imaging of a patterned sample having repeating spots. Different sets of image distortion correction coefficients may be calculated for different regions of a sample during a first imaging cycle of a multicycle imaging run and subsequently applied in real time to image data generated during subsequent cycles. In one implementation, image distortion correction coefficients may be calculated for an image of a patterned sample having repeated spots by: estimating an affine transform of the image; sharpening the image; and iteratively searching for an optimal set of distortion correction coefficients for the sharpened image, where iteratively searching for the optimal set of distortion correction coefficients for the sharpened image includes calculating a mean chastity for spot locations in the image, and where the estimated affine transform is applied during each iteration of the search.
Printing methods and systems
A method of controlling a system including a printhead for printing an image on at least one surface, wherein the at least one surface differs in shape from a nominal surface by a known tolerance, and wherein the printhead and the at least one surface move relative to each other along a predetermined print path comprising at least one swathe. Small dot patterns (referred to as “pathfinders”) are printed on a surface of the object in a preliminary printing pass, then the printed dot patterns are analyzed, for example with a machine vision system. The necessary corrections may then be calculated from this analysis and applied to a subsequent full printing pass.
Image sensor and image processing system comprising the same
An image sensor and an image processing system in which the image sensor includes a sensing unit configured to generate a plurality of images having different luminances with respect to a same object, a pre-processor configured to merge n images (n is a natural number equal to or greater than 2) except for at least one of the plurality of images to generate a merged image, and an interface circuit configured to output the at least one image and the merged image to an external processor.
Image processing apparatus, method, and product for identifying and extracting an entire code from a pluraility of read portions of a sheet
An image processing apparatus for inspection of a sheet on which a code image obtained by encoding predetermined information is printed includes: a first acquisition unit which acquires positional information indicating a position and a size of the code image in the sheet; a second acquisition unit which acquires a plurality of read images obtained by a plurality of reading units reading different portions of the sheet, respectively, wherein the read images become an image indicating the entire sheet by being combined; a determination unit which determines whether any one of the read images includes the entire code image based on the positional information; and an extraction unit which extracts the predetermined information by, in a case where there is a read image including the entire code image, reading the code image in that read image.
IMAGE PROCESSING APPARATUS, IMAGE PROCESSING METHOD, IMAGE PROCESSING PROGRAM, AND RECORDING MEDIUM STORING PROGRAM
An image processing apparatus, an image processing method, a program, and a recording medium storing the program capable of extracting, from an input first image group, an image similar to an image extracted from a reference image group are provided. A first image group including a plurality of images of a user is transmitted to an order reception server. A second image group similar to the first image group is searched from a plurality of reference image groups stored in the order reception server. An image similar to an image previously extracted from the second image group is extracted from the first image group. An album is generated by arranging the image extracted from the first image group in a layout similar to a layout of an album generated from the second image group.
ELECTRONIC DEVICE AND CONTROL METHOD THEREOF
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.
IMAGE SUPER-RESOLUTION PROCESSING METHOD, SYSTEM, AND DEVICE
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.