Abstract: A first image can be processed through a neural network. The first image can cause each first hidden node to assume a first state. A second image can be accessed along with a region-of-interest (ROI) for the second image. At least some of the first hidden nodes can be frozen based on the ROI. At least some of the first hidden nodes can be kept fluid based on the ROI. The second image can be processed through the neural network. The fluid first hidden nodes can assume second states. The frozen first hidden nodes can remain in the first state.

Abstract: Defects of interest and nuisance can be separated into different segments which enables detection of the defects of interest in only one segment. A region of an image can be segmented into a plurality of segments. A range attribute of the segments can be determined. Thresholding can be used to select one of the segments from the range attribute. The segment that is selected can be dilated.

Abstract: Techniques are described for efficiently embedding frame masks in a video stream. In some solutions, a computer implemented method includes operations for encoding a frame of video data comprising an array of pixels to generate an encoded video frame and transmitting the encoded video frame. The array of pixels can include foreground pixels and background pixels. The foreground pixels can have respective original luma values which are bounded within a first luma range. In certain examples, encoding the frame of video data can include converting the original luma values of the foreground pixels to updated luma values which are bounded within a second luma range. The second luma range can be shifted and/or compressed from the first luma range.

Abstract: In an optimization apparatus, a computing unit searches for the ground state of an Ising model generated by converting an optimization problem to be solved, based on Ising model information representing the Ising model and a temperature parameter. A control unit determines the minimum value of the temperature parameter, based on a resolution in energy of the computing unit for the Ising model and a first reference value indicating an acceptance probability of state transition in the Ising model at the minimum value, determines a maximum amount of change in energy, based on the Ising model information, determines the maximum value of the temperature parameter, based on the determined maximum amount of change in energy and a second reference value that is greater than the first reference value and indicates the acceptance probability at the maximum value, and sends the minimum and maximum values to the computing unit.

Abstract: An image signal processor, an operating method thereof, and an image processing system are provided. The image processing system includes: a control processor configured to generate and output setting information corresponding to N (where N is an integer of 2 or more) image frames; and an image signal processor configured to perform image processing on the N image frames received from an image sensor based on the setting information, and generate an interrupt signal and transmit the interrupt signal to the control processor based on completion of the image processing performed on the N image frame.

Abstract: An apparatus for use with a medical system, the medical system comprising a medical device configured to treat and/or image a patient, includes: an input configured to receive an image from a camera, the camera configured to view at least a part of the patient and/or at least a part of the medical system; a processing unit configured to replace a damaged-pixel value in the image corresponding with a damaged pixel in the camera that is damaged due to radiation resulted from an operation of the medical device; and an output for outputting an improved image having less noise compared to the image received from the camera.

Abstract: Systems, methods, and computer program products leverage artificial intelligence, and machine learning to process image enhancements using image enhancement techniques and algorithms. Image enhancements are determined to be best suited for enhancing each image as a function of each images' calculated validation parameters by an analytics engine. The images are each categorized by the image quality as a function of the validation parameters. Images identified as having an improvement space are further processed by querying the images' validation parameters using a knowledge base comprising historical data describing past image enhancements and historical validation parameters to the current image. A matrix of recommended enhancements, along with a predicted success rate for improving the image quality is provided to a user interface.

Abstract: An image forming apparatus includes a document reader that scans a document and outputs an image of the document, a process selector that selects a process to be executed on the image depending on a document scanning region scanned in the document reader, and a controller that performs control to execute the process selected by the process selector on the image.

Abstract: Techniques and systems are provided for segmenting one or more frames. For example, image segmentation can be performed on a first frame of a plurality of frames. The image segmentation results in generation of a segmentation mask. Pixels of the first frame can be modified using the segmentation mask. An amount of movement of one or more pixels of a second frame can be determined. The amount of movement can be determined based on one or more motion characteristics of the second frame. It can be determined whether to perform image segmentation using the second frame or a third frame of the plurality of frames based on the amount of movement of the one or more pixels of the second frame.

Abstract: An image reading apparatus includes: a transporting unit; a reading unit that reads the document that is transported; a detecting unit that is provided upstream of the reading unit in the transporting direction and outputs a detection value that tells a transmittance of the document; and a control unit that clips image data at a document area by comparing values of pixels constituting a read image data generated by the reading unit with a threshold value for division into the document area and a background area; wherein the control unit performs clipping by using a first threshold value if the transmittance told by the detection value is less than a predetermined value, and the control unit performs clipping by using a second threshold value that is less than the first threshold value if the transmittance told by the detection value is not less than the predetermined value.

Abstract: Techniques and systems are provided for processing video data. For example, video data can be obtained for processing by an encoding device or a decoding device. Bi-predictive motion compensation can then be performed for a current block of a picture of the video data. Performing the bi-predictive motion compensation includes deriving one or more local illumination compensation parameters for the current block using a template of the current block, a first template of a first reference picture, and a second template of a second reference picture. The templates can include neighboring samples of the current block, the first reference picture, and the second reference picture. The first template of the first reference picture and the second template of the second reference picture can be used simultaneously to derive the one or more local illumination compensation parameters.

Abstract: An image processing apparatus includes a blank page determination unit configured to determine whether a document is a blank page by using image data obtained by reading the document, a color determination unit configured to determine whether the document is polychrome or monochrome, and a decision unit configured to decide on processing of the image data obtained by reading the document by using a determination result of the blank page determination unit and a determination result of the color determination unit.

Abstract: Systems of the present disclosure allow fields and labels to be identified in a digital image of a form without performing OCR. A digital image of a form can be partitioned into image segments using computer-vision image-segmentation techniques. Features for each image segment can be extracted using computer-vision feature-detection methods. The features extracted from an image segment can be included in an input instance for a machine-learning model. The machine-learning model can assign a classification to the input instance. The classification can associate the input instance with a field type or a label type.

Abstract: An image reading apparatus according to an embodiment includes an image reading unit configured to generate reference data by reading a reference surface and to generate image data by reading a sheet. A reference unit has a reference surface. A shading correction unit determines whether a portion of the reference surface includes a contaminant based on image data generated by the image reading unit reading the portion of the reference unit. When the portion of the reference surface is determined to not include a contaminant, the shading correction unit generates reference data based on the image data generated by the image reading unit reading the portion of the reference surface determined to not include a contaminant.

Abstract: A computer-implemented method of producing a segmented image of a scene comprises providing a plurality of images of the scene, each image corresponding to a respective acquisition of a physical signal, the plurality of images including at least two images corresponding to different physical signals, and generating the segmented image based on the plurality of images, by determining a distribution of labels that minimizes an energy defined on a Markov Random Field (MRF). This improves the field of computer vision.

Abstract: Method for generating a lane departure warning in a vehicle, comprising acquiring a plurality of frames of a digital image of a road on which the vehicle is running, the digital image of a road including the image of a lane within which the vehicle is running and of marking lines of the lane, for each of the acquired frames, extracting edge points of the frame, analyzing the edge points to evaluate a lane departure status, the evaluation including performing a lane departure verification procedure including identifying in the frame points representative of the position of the lane marking lines, generating a lane departure alert if a lane departure status is detected by the lane departure verification procedure.

Abstract: A system, comprising a processor; and a memory, the memory storing instructions executable by the processor to receive image data from a vehicle sensor installed in a vehicle, transform the image data into global coordinate data, estimate fractal dimension values of the global coordinate data, and determine calibrated parameters based on the fractal dimension values to operate the vehicle sensor.

Abstract: According to exemplary methods, a selection of a paper type for producing an image is received. A database of background suppression values associated with paper types is searched. Responsive to not finding a background suppression value associated with the paper type, the database is updated for the paper type. According to the method of updating, a page of the paper type is scanned and image data obtained by scanning the page is analyzed. Background luminance for the page is determined based on analyzing the image data. A background suppression value is calculated for the page based on the background luminance. The paper type and the background suppression value for the page are added to the database. The background suppression value is associated with the paper in the database.

Abstract: A region-of-interest detection apparatus for improving detection accuracy of a region of interest in a case where a region of interest overlaps a background region, or in a case where feature amounts of a region of interest and a background region are similar to each other calculates feature amounts of regions where partial regions and a background region set in an input image overlap each other, and based on the calculated feature amounts and a feature amount of each position in the input image, calculates a foreground level of the position in the input image. Then, the region-of-interest detection apparatus detects a region of interest from the input image based on the calculated foreground level and a saliency of the position.

Abstract: A screen display ratio adjusting apparatus includes a handheld device and a display device. The handheld device includes an application module which obtains an image of a pre-stored picture being displayed on a display interface of the display device (“test picture”). The pre-stored picture includes a first section and a second section. The application module calculates respective lengths and widths of the first and second sections from the test picture. The application module further calculates a display size ratio between the first section and the second section, and adjusts a display size of the first section. The display device is then configured to display the first section in an adjusted size. A screen display ratio adjusting method is also provided.

Abstract: Various aspects of a system and a method for background subtraction in video content are disclosed herein. The system includes an electronic device, which generates an optical flow image of an image frame from a sequence of image frames. A first distribution is determined based on pixel values of a plurality of pixels of the generated optical flow image. A second distribution is determined based on pixel values of a set of pixels of the plurality of pixels of the generated optical flow image. The set of pixels correspond to pixels that touch one or more borders of the image frame. A third distribution is further determined based on the determined first distribution and the determined second distribution. One or more peak values corresponding to one or more background regions in the generated optical flow image, are determined within a specified threshold range in the determined third distribution.

Abstract: A method for area identification includes identifying a plurality of candidate predefined edges in a document image of a document. The candidate predefined edges are edges in a predefined direction of the document. The method further includes determining one of the candidate predefined edges to be a target predefined edge and identifying at least one information area in the document image based on the target predefined edge.

Abstract: In an example embodiment, there is disclosed herein an automated banking machine that includes an instrument acceptor operable to receive financial instruments. The machine is operable to cause user data obtained from a user during a user session with the machine to be sent to a transaction authorizing host computer. The machine is operable to generate an electronic deposit slip that includes a data representative of a financial account associated with the user data, and a value of value of a financial instrument received by the instrument acceptor during the user session. The electronic deposit slip to be sent to a server that is remotely located from the automated banking machine and data representative of the value of the financial instrument is sent to the authorizing host terminal to cause the financial account to be credited an amount corresponding to the value of the financial instrument.

Abstract: The embodiments described herein relate to accessing a plurality of data elements. A page of column data is compressed and stored in a format that includes a collection of data elements. A tuple map is stored, and the collection of data elements is indexed via the tuple map. A query is processed based on the compressed page by identifying a set of tuple identifiers mapping to stored data in support of the query. Each tuple identifier corresponds to a location of a respective tuple of the compressed page.

Abstract: Systems of the present disclosure allow fields and labels to be identified in a digital image of a form without performing OCR. A digital image of a form can be partitioned into image segments using computer-vision image-segmentation techniques. Features for each image segment can be extracted using computer-vision feature-detection methods. The features extracted from an image segment can be included in an input instance for a machine-learning model. The machine-learning model can assign a classification to the input instance. The classification can associate the input instance with a field type or a label type.

Abstract: A digital image of a check may be divided into segments. The segments may be processed to determine the edges between the background data and the check data in the segments of the digital image. A histogram of each segment may be determined and used to determine the edges of the check image portions in the segments and thus the edges of the check. The data outside the edges of the check image portions in the segments may be considered to be background data and may be identified and/or removed. The segments, with the background data removed, may be recombined into an image of the check and provided into a digital image file that may be transmitted to an institution system for deposit of the check in an account.

Abstract: A method, a computer program product and a server for visualizing and manipulating graphic charts to one or more users is disclosed. The method includes creating n variables, creating multiple datasets including data points representing a relation between a subset of the variables, and creating one or more graphic charts each comprising a representation of the datasets. The method also includes displaying the graphic charts on display elements and manipulating a dataset in a graphic chart where a mathematical model is created and relations between the datasets are detemiined by the mathematic model. The relations operate in a two-way direction, and the datasets and graphic charts are accordingly updated when manipulated.

Abstract: In an embodiment, an encoding method includes generating a histogram corresponding to all pixels in a coding unit. The encoding method further includes seeking a first color value according to the histogram, wherein a first number of pixels of the first color value in the histogram is greater than or equals to a first threshold. The encoding method further includes seeking a second color value in a first range of the first color value according to the histogram. The encoding method further includes removing one or more pixels of the first color value from the histogram when a second number of pixels of the second color value is greater than or equals to a second threshold. The encoding method further includes adding the first color value into an initial color table when the second number of pixels is less than the second threshold. An encoder is also provided in the disclosure.

Abstract: A method and apparatus for vascular disease detection and characterization using a recurrent neural network (RNN) is disclosed. A plurality of 2D cross-section image patches are extracted from a 3D computed tomography angiography (CTA) image, each extracted at a respective sampling point along a vessel centerline of a vessel of interest in the 3D CTA image. Vascular abnormalities in the vessel of interest are detected and characterized by classifying each of the sampling points along the vessel centerline based on the plurality of 2D cross-section image patches using a trained RNN.

Abstract: A character segmenting apparatus may include a character segmenting position detecting unit to detect a segmenting position of characters. The character segmenting position detecting unit may include an area setting unit to set up an area for detecting the segmenting position; a projection creating unit configured to create a projection of pixel values, with respect to pixels arranged in a character placement direction, at least in a specified area set up by the area setting unit; a binarizing threshold value obtaining unit to calculate a moving average on the basis of minimum pixel values of the projection, in order to specify the moving average as a binarizing threshold value for the specified area; and a position detecting unit to calculate a character segmenting position on the basis of the binarizing threshold value.

Abstract: To improve operability for a user who uses an image processing apparatus which images an original document and displays an image indicating the imaged original document, a camera scanner causes a displaying device to display a remaining image corresponding to the image indicating the original document at a position where the original document was put, and, when detecting that an original document enters a detecting region, causes the displaying device to display a thumbnail image of the remaining image such that the thumbnail image does not overlap the original document which enters the detecting region.

Abstract: Systems and methods for extracting text from images rendered on a display screen, the method comprising capturing a color image rendered on a display screen; and transforming the color image to binary color image, preserving text-like graphic components and filtering out non-text-like graphical components. The transforming comprises scanning one or more areas of the color image; and detecting continuous bi-tonal regions in the scanned one or more areas, wherein the continuous bi-tonal regions have large variances.

Abstract: A method and apparatus for identifying a media item. The apparatus includes a module for receiving media items and capturing an image of a received media item. The method involves ascertaining external dimensions of the media item from the captured image; creating a monochromatic image based on high contrast boundaries within the captured image; matching the monochromatic image to one of a plurality of templates of media items of approximately the same external dimensions as the media item; and providing details of the matched template, including type and orientation of the media item corresponding to the matched template.

Abstract: The described embodiments relate to methods and systems for detecting the blockiness of a video signal comprised of a number of pixels. The method includes the steps of determining if the pixel forms a part of at least one visible horizontal transition along a macroblock border, at least one visible vertical transition along a macroblock border, at least one flat area or at least one flat macroblock; calculating a horizontal border transitions count, a vertical border transitions count, a flat area count and a macroblock flat area count; and generating at least one blockiness indicator for the region of interest selected from the group consisting of a block border indicator, a flat area indicator and a flat block indicator, wherein the at least one blockiness indicator is based on at least one of the horizontal border transitions count, the vertical border transitions count, the flat area count and the macroblock flat area count.

Abstract: An image reading apparatus for bound media includes a placement table, on which a bound medium is placed, a first arm that is opposite to a bound portion of the bound medium, a second arm, a lifting unit that lifts up a turned medium of the bound medium, a second arm moving mechanism that moves the second arm, so that the turned medium lifted by the lifting unit is sandwiched between the first arm and the second arm, an arm moving mechanism that moves the first arm and the second arm, so that the turned medium turns over, a first imaging unit that performs imaging of a side of the turned medium opposite to the first arm, and a second imaging unit that performs imaging of the a side of the turned medium opposite to the second arm.

Abstract: Image inpainting is controlled in response to a structure analysis and recovery process for a missing object region. Structure edges are detected about the periphery of the removed object area, and extensions determined in response to color and depth information. Intersections are determined in a structure framework, whose regions are then synthesized using a patch filling process, after which remaining areas of the image similarly synthesized.

Abstract: A method and system for importing information in a computing system. An information content is displayed on one or more respective screens in corresponding locations. An import request, for importing a digital representation of a physical object placed on a current screen in a current location, is received. A first digital image at least partially representing the current screen is acquired by one or more digital cameras. An object digital image representing an object area of the current screen being covered by the physical object is obtained. The object area is identified from comparison between the first digital image and a displayed digital image. A digital document representing the physical object is generated from the object digital image. The digital document is added to the information content for displaying the digital document at a position on each screen corresponding to a position of the physical object on the current screen.

Abstract: An approach for receiving a request for an authentication code for presentation in an authentication user interface, wherein the request is from a relying party and wherein the authentication user interface is presented by the relying party at a first device. The approach further involves transmitting the authentication code to the relying party. The approach also involves authenticating a user with respect to the relying party by determining that a second device associated with the user has read the authentication code from the authentication user interface of the first device, wherein the second device is a previously authenticated device.

Abstract: In embodiments of the present invention improved capabilities are described for producing background separated product images for print and on-line display. An image formation system provides lighting of a product to facilitate acquiring images that can be automatically processed to generate high resolution item-only images free of quality defects and imaging artifacts. Image processing programs accurately detect an outline of an item in a set of digital images taken using the image formation system and automatically store processed images in an image library. The images in the library may be repurposed for print, sales display, transmission to a user, on-line customer support, and the like. A user display configured with an adaptable user interface facilitates user interaction with images in the library.

Abstract: An apparatus, a method and a non-transitory computer-readable recording medium for detecting a moving object using a depth map is provided. The apparatus includes a segment image generator unit that generates a segment image to distinguish each object using a depth image of a current input frame; a background image generator unit that generates a current background image by applying a moving average method to the depth image and a background image of a previous input frame; and a moving mask generator unit that generates a moving mask by comparing the depth image with the current background image to thereby find moving parts in the depth image.

Abstract: An apparatus for and a method of processing a document image are provided. The method comprises: generating a luminance component image from the document image; estimating a luminance image from the luminance component image; and adjusting the luminance component image according to the estimated luminance image. Luminance values of pixels at least in horizontal edge areas of the luminance component image are estimated according to luminance values of pixels in a part of background of the luminance component image. If the estimated luminance values are acceptable according to a predetermined criterion, the luminance image is estimated according to the estimated luminance values. If the estimated luminance values are unacceptable, the luminance image is estimated by using the largest one of the luminance values of the pixels in each column of pixels in the luminance component image as the luminance values of all of the pixels in the column.

Abstract: The present invention relates to a method and apparatus for processing a scanned image. The method for processing a scanned image comprises: a shaded region extracting step of extracting a region, which is shaded by a shading object and lies in a margin in the vicinity of an edge of the scanned image, as a shaded region and a pixel value repairing step of repairing values of pixels, which lie both in a line segment and the shaded region, by using a linear model according to known values of pixels, which lie both in the line segment and the margin, the line segment passing through the shaded region and being parallel to the edge.

Abstract: An image processing apparatus includes an image processing unit configured to set a background color in color line image data to one of white and transparent and express a line-drawing color of a line-drawing object by achromatic brightness when performing black-and-white printing based on the color line image data. The image processing unit includes: an origin setting unit configured to set a brightness of the background color to an origin on a brightness axis of a hue coordinate system in a case where the background color in the color line image data is a color other than white; and a first brightness setting unit configured to set a distance from the origin to a coordinate of the line-drawing color in the hue coordinate system as a brightness of the line-drawing object for the black-and-white printing.

Abstract: Systems and methods for enhanced object detection are provided in this disclosure. One embodiment of a method includes providing front side illumination of an object, capturing a first image of the object, and providing backside illumination of the object. Some embodiments include capturing a second image of the object, and determining an edge of the platform area assembly. Similarly, some embodiments include aligning the object from the second image with the edge of the platform area assembly to determine a location of the object, determining based on the location of the object, a pixel in the first image that does not belong to the object, and modify the pixel from the first image that does not belong to the object to create an altered image.

Abstract: Systems and methods for edge detection during an imaging operation are disclosed. In an exemplary implementation, a method may include subdividing an imaging area into a plurality of border detection zones. The method may also include scanning the imaging area including media to be scanned to obtain optical data for each of the plurality of border detection zones. The method may also include identifying at least one edge of the media based on change in the optical data between directly adjacent border detection zones, where the change indicates detection of a moiré pattern.

Abstract: An image processing device includes a width specifying part, a parameter value specifying part, and a density correcting part. The width specifying part specifies a width between both ends of an input image of a book about each line of the input image. The parameter value specifying part specifies a value of a density correcting parameter corresponding to the width specified by the width specifying part. The density correcting part corrects density of each line on the basis of the value of the density correcting parameter specified by the parameter value specifying part.

Abstract: A method, system, and algorithm detects graphite responses in optical mark recognition documents using inexpensive visible-light scanners. The invention is invariant to the numerous background colors and artwork in typical optical mark recognition documents. A superposition of a graphite response image and a background image is modeled. The background image in turn is modeled as a superposition of screening, artwork, lines, and machine text components. A sequence of image processing operations and a pattern recognition algorithm is used to isolate the graphite response image from a test document by systematically removing the components of the background image. The image processing operations consist of grayscale and color segmentation and the application of the Hough transform. Components that are not removed by image processing operations are identified by calculating their texture features, and removed using a multivariate Gaussian classifier.

Abstract: A printer with integral scanner obtains a digital signature from an article as it is printed. The integral scanner has a coherent source which directs a light beam to illuminate the article and a detector arrangement to collect data points from light scattered from many different parts of the article to collect a large number of independent data points. The digital signature derived from the data points is stored in a database with an image of what was printed on the article. The authenticity of an article purported to be the originally printed article can be verified by scanning the purported genuine article to obtain its digital signature. The database is then searched, to establish whether there is a match. If a match is found, the image is displayed with the matched digital signature to allow a further visual check that the article is genuine.

Abstract: A method for creating a binary mask image from an inputted digital image of a scanned document, including the steps of creating a binarized image by binarizing the inputted digital image, detecting first text regions representing light text on a dark background, and inverting the first text regions, such that the inverted first text regions are interpretable in the same way as dark text on a light background. A method for comparing in a binary image a first pixel blob with a second pixel blob to determine whether they represent matching symbols, including the steps of detecting a line in one blob not present in the other and/or determining if one of the blobs represents an italicized symbol where the other does not.

Abstract: An image processing device includes a width specifying part, a parameter value specifying part, and a density correcting part. The width specifying part specifies a width between both ends of an input image of a book about each line of the input image. The parameter value specifying part specifies a value of a density correcting parameter corresponding to the width specified by the width specifying part. The density correcting part corrects density of each line on the basis of the value of the density correcting parameter specified by the parameter value specifying part.