Abstract: A computer-implemented image-processing method is provided. The computer-implemented image-processing method includes obtaining a pair of training samples including a training image having a first degree of sharpness and a reference image having a second degree of sharpness, the second degree greater than the first degree, at least portions of the training image and the reference image in a same pair having same contents; inputting the training image to the image-enhancing convolutional neural network to generate a training enhanced image; inputting the training enhanced image into an edge detector; generating, by the edge detector, a plurality of first edge maps; inputting the reference image into the edge detector; generating, by the edge detector, a plurality of second edge maps; and tuning parameters in the image-enhancing convolutional neural network to minimize at least the one or more first losses and a second loss.

Abstract: In a case where a second image processing device is designated as an image processing device used in printing according to a printing job, a printing control unit transmits a printing request to a second printing service system only when the printing job is a printing job corresponding to a printing instruction of a second user, and in a case where a first image processing device is designated as an image processing device used in printing according to the printing job, the printing control unit transmits a printing request to the second printing service system regardless of the printing job is a printing job corresponding to a printing instruction of which user.

Abstract: A medium conveying apparatus includes a plurality of feed rollers spaced in a direction perpendicular to a medium conveying direction, each of the feed rollers rotating independently at a respective speed to feed a medium, a plurality of brake rollers, each of the plurality of brake rollers being located to face a corresponding one of the plurality of feed rollers, a plurality of torque limiters separately provided between one of rotation shafts of the plurality of brake rollers and a corresponding one of the plurality of brake rollers, and a processor to detect a skew of the medium, and correct the skew of the medium by changing the speed of one of the plurality of feed rollers when the skew of the medium is detected.

Abstract: Based on scanned data obtained by a scan unit reading a first chart printed and output by a printing unit and colorimetric data obtained by a colorimetry unit measuring the first chart, correction information for correcting a sensed value of the scan unit is generated. The first chart includes a patch extending in a main scanning direction substantially perpendicular to a sheet conveyance direction and having a uniform density, and a position adjustment pattern formed outside the patch for identifying a position in the main scanning direction on the patch. A first generation unit generates the correction information by causing a pixel position of an end portion of the patch in the scanned data and a colorimetry position of an end portion of the patch in the colorimetric data to correspond to each other and determining a corrected value of the sensed value at a specific pixel position.

Abstract: Improved techniques to access content from documents in an automated fashion. The improved techniques permit content within documents to be retrieved and then used by computer systems operating various software programs (e.g., application programs), such as an extraction program. Documents, especially business transaction documents, often have various descriptors (or tables) and values that form key-value pairs. The improved techniques permit key-value pairs within documents to be recognized and extracted from documents. Consequently, RPA systems are able to accurately understand the content of tables within documents so that users and/or software robots can operate on the documents with increased reliability and flexibility.

Abstract: The present disclosure discloses methods and apparatus for fatigue prediction based on analogue brain wave data, wherein one of the methods comprises: collecting an eye video sequence based on a video capture device; inputting the eye video sequence into a default fatigue discriminator to obtain predicted analogue brain wave data; and outputting the analogue brain wave data to a fatigue discriminant to discriminate a fatigue state. By adopting such a method for fatigue prediction based on analogue brain wave data described in the present disclosure, corresponding analogue brain wave data can be generated through acquiring eye image data, and the fatigue state can be predicted according to the analogue brain waves, so as to avoid tedious operation steps and improve the robustness and accuracy of the fatigue state detection, thereby greatly improving the user experience.

Abstract: An information processing apparatus communicatively connected to a user terminal and an image forming apparatus, the information processing apparatus includes one or more controllers having one or more processors and one or more memories, the one or more controllers being configured: to receive a message of a text described in a natural language from the user terminal, to determine information about a device setting of the image forming apparatus from a word included in the message, and to transmit the information about the determined device setting to the image forming apparatus.

Abstract: Systems and methods for identifying a presence of a completed document are disclosed. The system may receive an image file from a client device associated with a first document, identify one or more image regions within the image file corresponding to a presence of one or more extractable data entries, selectively extract the one or more extractable data entries, and determine whether the one or more extractable data entries match one or more stored data entries. When the one or more extractable data entries match, the system may determine the status of the first document as completed. When the one or more extractable data entries do not match, the system may proactively replace one or more inconsistent extractable data entries with corresponding stored data entries to form a corrected first document, and generate a request for a client to verify the corrected first document.

Abstract: A document to be analyzed and a set of key names to be extracted from the document are received. A set of strings of characters contained within the document and a location for each string of character are identified. Moreover, a document graph for the document is generated. The document graph includes a set of nodes and a set of edges. Each node of the set of nodes corresponds to a string of characters of the set of strings of characters. Each edge of the set of edges connects two or more nodes together. Additionally, based on the document graph and the received set of key names, a set of keys are identified. Furthermore, a set of values are extracted from the document, and a set of key-value pairs are generated based on the identified set of keys and the extracted set of values.

Abstract: A printing system includes a print engine, and one or more controllers configured to perform a data obtaining process of obtaining print data, a print controlling process of controlling the print engine to print an image corresponding to the print data on a printing medium based on a print setting value, and a fee determining process of determining a fee corresponding to a plurality of the print setting values to be applied when the print engine prints the image on the printing medium.

Abstract: Disclosed are an image dehazing method and system based on CycleGAN. The method comprises: acquiring a to-be-processed hazy image; and inputting the image into a pre-trained densely connected CycleGAN, and outputting a clear image. The densely connected CycleGAN comprises a generator, the generator comprises an encoder, a converter and a decoder, the encoder comprises a densely connected layer for extracting features of an input image, the converter comprises a transition layer for combining the features extracted at the encoder stage, the decoder comprises a densely connected layer and a scaled convolutional neural network layer, the densely connected layer is used for restoring original features of the image, and the scaled convolutional neural network layer is used for removing a checkerboard effect of the restored original features to obtain a finally output clear image.

Abstract: Keypoint extraction is done for extracting keypoints from images of documents. Based on different keypoint extraction approaches used by existing keypoint extraction mechanisms, number of keypoints extracted and related parameters vary. Disclosed herein is a method and system for keypoint extraction from images of one or more documents. In this method, a reference image and a test image of a document are collected as input. During the keypoint extraction, based on types of characters present in words extracted from the document images, a plurality of words are extracted. Further, all connected components in each of the extracted words are identified. Further, it is decided whether keypoints are to be searched in a first component or in a last component of all the identified connected components, and accordingly searches and extracts at least four of the keypoints from the test image and the corresponding four keypoints from the reference image.

Abstract: In one embodiment, an apparatus comprises a storage device and a processor. The storage device stores a plurality of images captured by a camera. The processor: accesses visual data associated with an image captured by the camera; determines a tile size parameter for partitioning the visual data into a plurality of tiles; partitions the visual data into the plurality of tiles based on the tile size parameter, wherein the plurality of tiles corresponds to a plurality of regions within the image; compresses the plurality of tiles into a plurality of compressed tiles, wherein each tile is compressed independently; generates a tile-based representation of the image, wherein the tile-based representation comprises an array of the plurality of compressed tiles; and stores the tile-based representation of the image on the storage device.

Abstract: An image forming apparatus includes a setting unit configured to set a partition region for dividing a rolled print medium into a plurality of rolls, the partition region being set within a group of images that are sequentially printed accompanying feeding from a feeding apparatus in which the rolled print medium is set; and a printing unit configured to print, on the print medium fed from the feeding apparatus, the group of images reflecting the partition region set by the setting unit. The printing unit prints, on the partition region, an identification image indicating a cutting position for dividing into the plurality of rolls, and the setting unit sets a position at which the identification image is printed, based on information of the group of images.

Abstract: An apparatus includes a print controller configured to perform color conversion on data using a color profile to generate image data for use in printing. The apparatus further includes a controller configured to acquire information regarding characteristic information of at least one illumination apparatus via a network, acquire first characteristic information based on the information regarding the characteristic information of the at least one illumination apparatus, acquire second characteristic information based on a color chart of the apparatus, and generate a color profile based on the first and second characteristic information.

Abstract: A preview processing unit obtains a print setting and rendering data, generates a preview image for print from the rendering data of a corresponding page, and displays the generated preview image on a preview screen. In a case where the print setting includes a crease setting, the preview processing unit displays, in a superimposed manner on the preview image, an object indicating a position at which a cease is to be applied. In a case where the print setting includes a perforation setting, the preview processing unit displays, in a superimposed manner on the preview image, an object indicating a position at which a perforation is to be applied.

Abstract: Described are methods and systems for detecting fraud in documents. First images of a first set of genuine documents and second images of a second set of genuine documents are obtained. A printed feature, spacings between printed features in the first images, and positions of printed features in the second images are selected. Selected features, spacings and positions are annotated to obtain original landmark locations for each printed feature, spacing and position. Annotated features, spacings and positions are transformed to obtain transformed features, transformed spacings and transformed positions. The transformed features, spacings and positions are combined with a noise model to generate modified features, modified spacings and modified positions. Each modified feature, modified spacing and modified position comprises annotations indicating modified landmark locations. Input data for a machine learning model is generated using original landmark locations and modified landmark locations.

Abstract: A method comprises identifying a representation of first statistical information in a document, identifying descriptive text that describes the first statistical information, determining whether the descriptive text accurately describes the first statistical information, and upon determination that the descriptive text does not accurately describe the first statistical information, generating alternative descriptive text that accurately describes the first statistical information.

Abstract: An image reception apparatus including a reception unit that receives a first image from an image transmission apparatus and a transmission unit that transmits information on an attention area designated by a user in the first image to the image transmission apparatus. When the transmission unit transmits the information to the image transmission apparatus, the reception unit receives, from the image transmission apparatus, the first image together with one or more partial images corresponding to the attention area and constituting a second image of a resolution higher than a resolution of the first image.

Abstract: A customized resorbable three-dimensional scaffold for oral and maxillofacial bone grafting involves merging two sets of three-dimensional information obtained from a patient, the first set includes three-dimensional bone information and the second set includes three-dimensional teeth and tissue information. The merged information is used to generate a three-dimensional shape of the bone to be regenerated, a three-dimensional position of the missing tooth/teeth, and a three-dimensional model of the customized resorbable three-dimensional scaffold for oral and maxillofacial bone grafting. The three-dimensional model is used to generate the customized resorbable three-dimensional scaffold and resorbable connectors for the customized resorbable three-dimensional scaffold.