Abstract: Systems and methods for coherent image correlation are provided. The systems include sonars with overlapping frequencies that observe terrain from overlapping aspects to form sonar images. First and second sonar images are formed and are grazing angle compensated. The first image is formed using the open or closed aperture theorem. Forming the second image using the open or closed aperture theorem constraint is optional. If the first and second images are not aligned, a range of possible rotations can be defined and image pairs can be created for a sampling of rotational angles. In addition, the images can be aspect compensated to remove windowing and beam pattern effects, if necessary. Once both images are grazing angle compensated and aligned, values are calculated for each possible image shift. To obtain a correlation image, the correlation coefficient for each possible image shift is calculated.

Abstract: Systems and/or methods that factor large-scale repeated content within and/or among images can include devices and components that factor received or acquired images into epitomes that include all the content of the received or acquired images and transform maps that encode how to construct a facsimile or a close approximation of the image by selecting transformed regions from the epitomes. Through use of both the epitomes and the transform maps in conjunction, a facsimile or a close approximation of the input image can be reconstructed and displayed.

Abstract: An image processing apparatus includes a parameter setting unit which sets a noise reduction processing parameter for use in noise reduction processing for applying onto an original image signal including a plurality of color components; a correlation arithmetic processing unit which calculates coefficients of correlation between each of the color components in the original image signal; a parameter correcting unit which corrects the noise reduction processing parameter based on the coefficient of correlation; and a noise reducing unit which reduces noise in the original image signal using the corrected noise reduction processing parameter.

Abstract: Disclosed herein is a scanning electron microscope capable of determining quality of a semiconductor pattern, deformation of contact-holes, and inclination of the sidewall of the contact-holes, respectively. To that end, the scanning electron microscope includes image pickup means for picking up images of a circuit pattern formed on a semiconductor wafer on a preset condition, calculation means for comparing each of the images picked up by the image pickup means with a prestored reference image to thereby calculate a feature of the images picked up, and a computer for executing evaluation on quality of the circuit pattern on the basis of the feature calculated by the calculation means, and calculation of the feature is executed independently with reference to a secondary electron image, and each of back-scattering electron images.

Abstract: A spatial correlation system and method is disclosed to infer and anticipate the environmental and other conditions of an energy park from individual energy collector information. Individual collector information is acquired and formatted into a pixelized image according to the spatial location of the collector. Image processing and other spatial correlating algorithms are applied to generate spatially correlated descriptions of the energy park. The descriptions are of the current and anticipated conditions. The collectors are made to respond to the descriptions in order to maximize energy collection, avoid disruptive conditions, and reduce stress loading. The system combines locally acquired collection information in a manner that replaces costly collector instrumentation.

Abstract: A two level cross-correlation based system for watermarking continuous digital media at the system application level. It is a post-compression process for watermarking where no a priori knowledge of the underlying compression algorithm is required. Per each compressed media frame, a current unique digital signature is generated based on the data from the current compressed frame plus the digital signature that has been previously generated. The signature thus generated is then used in conjunction with the next compressed frame to generate the next unique digital signature. All digital signatures are correlated according to the above process until a “reset” signal is issued. A new chain of correlated digital signatures is produced by the system with a pre-determined initial signature.

Abstract: A method and apparatus for finding correspondence between portions of two images that first subjects the two images to segmentation by weighted aggregation (10), then constructs directed acylic graphs (16,18) from the output of the segmentation by weighted aggregation to obtain hierarchical graphs of aggregates (20,22), and finally applies a maximally weighted subgraph isomorphism to the hierarchical graphs of aggregates to find matches between them (24). Two algorithms are described; one seeks a one-to-one matching between regions, and the other computes a soft matching, in which is an aggregate may have more than one corresponding aggregate. A method and apparatus for image segmentation based on motion cues. Motion provides a strong cue for segmentation. The method begins with local, ambiguous optical flow measurements. It uses a process of aggregation to resolve the ambiguities and reach reliable estimates of the motion.

Abstract: The present invention relates to a method to perform an accurate correlation between a first set of data (1), collected from a first source (A1), and a second set of data (2), collected from a second source (A2), in the presence of noise in one or both of the first and second sets of data (1, 2). The present invention specifically teaches that a third set of data (3) is collected from the first source (A1) under the same conditions as the conditions of the collection of the first set of data (1), and that a fourth set of data (4) is collected from the second source (A2) under the same conditions as the conditions of the collection of the second set of data (2).

Abstract: Provided are a method and apparatus for correcting an image under conditions where degradation of an image occurs. The method includes receiving an input image; comparing the input image with a stored image related to the input image, according to a predetermined standard; and selectively correcting the input image based on the stored image according to the result of the comparison.

Abstract: Systems and methods for filling panoramic images having valid and invalid pixel regions are provided. An invalid region is identified in an initial panoramic image. Pixel data of invalid pixels in the initial panoramic image are replaced with pixel data of pixels from a valid region in at least one nearby panoramic image to obtain a valid fill region.

Abstract: An image registration system for aligning first and second images. The novel system includes a first system for extracting a region of interest (ROI) from each image and a second system for coarsely aligning the regions of interest. The first system determines the size and location of the ROI based on the number of features contained within the region. The size of the ROI is enlarged until a number of features contained in the ROI is larger than a predetermined lower bound or until the size is greater than a predetermined upper bound. The second system computes a cross-correlation on the regions of interest using a plurality of transforms to find a coarse alignment transform having a highest correlation. The image registration system may also include a third system for performing sub-pixel alignment on the regions of interest.

Abstract: A target digital image is received from an image sensor. The image is contaminated by noise of unknown magnitude that is represented by a reference digital image. A process is applied that uses statistical analysis of the target digital image and of the reference digital image to estimate a magnitude of the noise for at least some pixels of the target digital image.

Abstract: A method of processing noise in image data by an image processor having a signal-processing portion converting an image signal from an image sensor into a digital signal and outputting the converted signal as image data for each frame, the image data indicating sets of pixel values each having a brightness at a corresponding one of coordinate points arranged in directions of rows and columns is disclosed. The method includes the steps of: extracting pixel values; deciding pixel value; finding autocorrelation coefficients of pixel values which are less than a first threshold value; and deciding random noise in the image.

Abstract: To characterize film grain, a Film Grain Characterizer (23) receives an incoming information stream (12) and a filtered information stream (24) from which the film grain has been removed. From these streams, the Film Grain Characterizer (23) outputs a message that contains an identity of a model for simulating grain, as well at least one of a set of several parameters, including correlation parameters, intensity-independent parameters and intensity-dependent parameters used by the identified model. An encoder (26, 13) encodes the film grain information for subsequent transmission.

Abstract: This invention relates to a pattern recognition correlator in which a serial input data signal is converted into a parallel data signal for correlation with one or more reference data signals. The invention relates to use of a demultiplexer in such a correlation apparatus to reduce the data update rate for the subsequent components. The invention also relates to the use of a series of latch circuits to provide serial to parallel conversion of the input data signal in the electrical domain.

Abstract: Provided with a time-lapse imaging unit which repeatedly captures a specimen at predetermined time intervals and generates a plurality of images, and a recording unit which records at least one of an image group including one or more of the images captured during a predetermined period among a period of a time-lapse capturing performed by the time-lapse imaging unit or an image group including one or more of the images picked at predetermined time intervals among the period of the time-lapse capturing performed by the time-lapse imaging unit. Thus, data generated in time-lapse photography are managed favorably in a microscope apparatus provided with a time-lapse imaging unit which repeatedly captures a specimen at predetermined time intervals and generates a plurality of images.

Abstract: An embodiment provides for enabling retrieval of a collection of captured images that form at least a portion of a library of images. For each image in the collection, a captured image may be analyzed to recognize information from image data contained in the captured image, and an index may be generated, where the index data is based on the recognized information. Using the index, functionality such as search and retrieval is enabled. Various recognition techniques, including those that use the face, clothing, apparel, and combinations of characteristics may be utilized. Recognition may be performed on, among other things, persons and text carried on objects.

Abstract: A method and system for structure enhancement and noise reduction of medical images using adaptive filtering is disclosed. The method utilizes feature estimation methods to determine multiple feature values for each pixel in an input image. Each pixel is then filtered using a filter type selected based on the feature values for that pixel.

Abstract: Embodiments of the present invention provide for improved timing control in 2-D image processing to maintain a constant rate of memory fetches and pixel outputs even when the processing operations transition to a new line or frame of pixels. A one-to-one relationship between incoming pixel rate and outgoing pixel rate is maintained without additional clock cycles or memory bandwidth as an improved timing control according to the present invention takes advantage of idle memory bandwidth by pre-fetching a new column of pixel data in a first pixel block of a next line or frame while a new column of an edge pixel block on a current line is duplicated or zeroed out. As the edge pixel block(s) on the current line are processed, the data in the first pixel block of the next line or frame become ready for computation without extra clock cycles or extra memory bandwidth.

Abstract: An image processing apparatus includes: image acquiring means for acquiring an image; search-window-size setting means for setting a size of a search window; search-range setting means for setting a search range in the image in relation to the set size of the search window; scanning means for moving the search window having the set size in the set search range; face-area determination means for determining whether the image in the search window at each scanning position is a face area; and face-information output means for outputting information of the face area obtained from a determination result of the face-area determination means.

Abstract: There are provided a framing assisting means for displaying as a moving picture object data as well as a profile of an area that is synthesized with a foreground of selected background data on an LCD 26 in a first magnification, a recording means for storing the object data selected by a shutter instruction in a nonvolatile memory to correlate with the selected background data, and a playing means for displaying as a still picture the object data stored in the nonvolatile memory and the background data correlated with the object data on the LCD 26 by applying a magnification varying process that is used to display the object data on the LCD 26 in a magnification smaller than the first magnification.

Abstract: The invention relates to a method of stabilizing the images of a scene, acquired by means of an observation device of an imaging system, comprising the step of digital processing of a stream of successive images. It comprises a step of acquiring gyrometric measurements by means of at least one gyrometric sensor secured to the observation device, of using these gyrometric measurements to determine so-called approximate shifts undergone between successive images, and the image processing step comprising a sub-step of using the approximate shifts and the image stream acquired to determine so-called fine shifts undergone between successive images.

Abstract: A method includes inputting to-be-processed data including a set of first-N-dimensional-coordinate values in an N-dimensional space and first-sampling values, inputting search-pattern data including a set of second-N-dimensional-coordinate values in the N-dimensional space and second-sampling values, setting a set of virtual-corresponding points designated by third-N-dimensional-coordinate values, acquiring input patterns each including third-sampling values within a first range with reference to a corresponding virtual-corresponding point, acquiring search patterns each including fourth-sampling-values within a second range with reference to a corresponding second-N-dimensional-coordinate value of the second-N-dimensional-coordinate values in correspondence with each of the second-N-dimensional-coordinate values, detecting, from the search pattern data, an estimated pattern including one search pattern and having smaller differences with respect to the input patterns than other search patterns, setting sampl

Abstract: Separations or images relating to film or other fields may be registered using a variety of features, such as, for example: (1) correcting one or more film distortions; (2) automatically determining a transformation to reduce a film distortion; (3) applying multiple criteria of merit to a set of features to determine a set of features to use in determining a transformation; (4) determining transformations for areas in an image or a separation in a radial order; (5) comparing areas in images or separations by weighting feature pixels differently than non-feature pixels; (6) determining distortion values for transformations by applying a partial distortion measure and/or using a spiral search configuration; (7) determining transformations by using different sets of features to determine corresponding transformation parameters in an iterative manner; and (8) applying a feathering technique to neighboring areas within an image or separation.

Abstract: A driving method used for a solid-state imaging device according to the present invention includes: imaging an object for a first storage time when a shutter is open, in a first state that is a state where either at least a part of the peripheral circuitry is suspended or a consumption current of the peripheral circuitry is limited; imaging, in the first state, a dark output signal image including only a dark output for a second storage time when the shutter is closed; converting the dark output signal image to correspond to the image obtained for the first storage time and subtracting, from the signal image of the object, the converted dark output signal image or converting the dark output signal image to correspond to the image obtained for the second storage time and subtracting, from the signal image of the object, the converted dark output signal image.

Abstract: Some embodiments provide a method of operating a device to capture an image of a high dynamic range (HDR) scene. Upon the device entering an HDR mode, the method captures and stores multiple images at a first image exposure level. Upon receiving a command to capture the HDR scene, the method captures a first image at a second image exposure level. The method selects a second image from the captured plurality of images. The method composites the first and second images to produce a composite image that captures the HDR scene. In some embodiments, the method captures multiple images at multiple different exposure levels.

Abstract: A method for characterizing image contents automatically or semi-automatically using image acquisition parameters and metadata is presented. The method establishes probabilistic and deterministic relationships between different types of metadata and the semantic attributes and contents of images. It furnishes a mechanism that enables the automatic and semi-automatic classification, annotation, tagging, indexing, searching, identification or retrieval of images based on their contents, semantic properties and metadata characteristics. The method uses, but is not limited to, image capture metadata such as focal length, exposure time, relative aperture, flash information, ISO setting, angle of view, subject distance, timestamp, GPS information as well as other forms of metadata, including but not limited to, captions, keywords, headings, tags, comments, remarks, titles which may be automatically, semi-automatically, or manually generated.

Abstract: A pattern inspection apparatus includes a stage configured to mount a target workpiece to be inspected thereon, a sensor configured to include a plurality of light receiving elements arrayed in a second direction orthogonal to a first direction which moves relatively to the stage, and to capture optical images of the target workpiece by using the plurality of light receiving elements, an accumulation unit configured to accumulate each pixel data of the optical images overlappingly captured by the sensor at positions shifted each other in the second direction by a pixel unit, for each pixel, and a comparison unit configured to compare the each pixel data accumulated for each pixel with predetermined reference data.

Abstract: A recognition-by-parts authentication system for determining if a physical test target represented in test image(s) obtained using an imaging device matches a physical training target represented in training image(s). The system includes a multitude of adaptive and robust correlation filters. Each of the adaptive and robust correlation filters is configured to generate correlation-peak-strength and distance-from-origin data using a multitude of related images. Each of the multitude of related images representing a similar part of a larger image. The related images originate from the test image(s) and training image(s).

Abstract: Methods and systems for estimating peak location on a sampled surface (e.g., a correlation surface generated from pixilated images) utilize one or more processing techniques to determine multiple peak location estimates for at least one sampled data set at a resolution smaller than the spacing of the data elements. Estimates selected from the multiple peak location estimates are combined (e.g., a group of estimates is combined by determining a weighted average of the estimates selected for the group) to provide one or more refined estimates. In example embodiments, multiple refined estimates are combined to provide an estimate of overall displacement (e.g., of an image or other sampled data representation of an object).

Abstract: In response to a request from a client, a server for volume rendering loads a volume dataset from a storage archive, creates a low resolution sub-sampled copy of such volume dataset and transmits it to a client. In response to subsequent requests from the client, the server for volume rendering renders a high quality image of the full resolution volume dataset and renders a low quality image of the sub-sampled copy of the volume dataset, then generates a pixel mask or a hybrid pixel mask indicative of a difference between the high quality image and the low quality image and transmits such pixel mask to the client. The client receives from the server the pixel mask and computes a high quality image based at least in part on the pixel mask and on a selective rendering of its local low resolution sub-sampled copy of the volume dataset.

Abstract: A method and system of analyzing signal-vector data from first order sensors including providing a training data set, adjusting the training data set using a background adjustment technique, normalizing and transforming the training data set into wavelet coefficients, using an automated analysis of variance feature selection technique and a pattern recognition technique to classify the training data set. The method and system may also include performing these operations on an unknown sample data set collected under unknown conditions and comparing the unknown sample data set to the classification model to provide an identity of the unknown conditions associated with the unknown sample data set. The present invention is also directed to a computer system for analyzing signal-vector data according to this method and a sensing system that includes a sensor and a microprocessor on which is stored a classification model for real-time sensing of unknown sample data sets.

Abstract: The invention provides a method and apparatus for fast volume rendering of 3D ultrasound image, comprising a dividing step, a calculating step, a determining step, a morphological closing operation step and a filling step, wherein each flat grid can be entirely filled by obtaining gray-scale values for all pixels inside the grid through interpolating; for the non-flat grid, the steps of dividing, calculating, determining and filling are performed repeatedly until the non-flat grid is subdivided into atomic grids to calculate gray-scale values for remaining pixels by projection. As the method can be finished in the rear end, no difficulty occurs in the implementation, and no process for being adapted to previous frames is required. Therefore, the method can improve the rendering speed effectively without degrading the quality of image to put 3D ultrasound imaging to the best use.

Abstract: A method for automatic localization of objects in a mask. The method includes building a dictionary of atoms, wherein each atom models the presence of one object at one location and iteratively determining the atom of said dictionary which is best correlated with said mask, until ending criteria are met. The invention system concerns also automatically detects objects in a mask. At least one fixed camera is provided for acquiring video frames. A computation device is used for calibrating at least one fixed camera for extracting foreground silhouettes in each acquired video frames for discretizing said ground plane into a non-regular grid of potential location points for constructing a dictionary of atoms, and, for finding objects location points with the previous method. And a for propagating device is provided to propagate the result in at least one fixed camera view.

Abstract: The present invention provides a method and module for preprocessing ultrasound imaging. The method comprises a calculation step for constructing a multivalue vector field and a smoothing step for smoothing the whole volume data. The method further comprises a judgement step and minification and magnification steps. The module includes a calculation unit, a smoothing unit, a judgement unit, a minification unit and a magnification unit. According to the method for preprocessing ultrasound imaging, speckle noise can be eliminated effectively by calculating a mean value of a plurality of nodes distributed over the surface, so as to implement the smoothing. Therefore, this method is capable of smoothing data without compromising details.

Abstract: A system for analyzing tissue samples, that generally comprises, a storage device for at least temporarily storing one or more images of one or more cells, wherein the images comprise a plurality of channels; and a processor that is adapted to determine the extent to which a biomarker may have translocated from at least one subcellular region to another subcellular region; and then to generate a score corresponding to the extent of translocation.

Abstract: Classification of a group of temporally related images is disclosed, wherein a capture-location sequence is identified from the group of temporally related images. The capture-location-sequence information, which is associated collectively with the capture-location sequence, is compared with each of a plurality of sets of predetermined capture-location-sequence characteristics. Each set is associated with a predetermined classification. An identified classification associated with the group of temporally related images is identified based at least upon results from the comparing step; and the identified classification is stored in a processor-accessible memory system.

Abstract: The presently claimed invention relates generally to digital watermarking of data, e.g., representing video or audio. One claim recites a method including: obtaining data representing video or audio; using a multi-purpose electronic processor programmed for: transforming the data into a transform domain, analyzing the transformed data to identify a plurality of transform coefficients according to predetermined criteria, and altering the identified plurality of transform coefficients to carry a digital watermark; and analyzing the data to determine a baseline state for the digital watermark. Of course, other combinations and claims are provided too.

Abstract: An improved image processing method for generating an image from a hard copy document includes the following steps: scanning the hard copy document multiple times using a scanner to generate a plurality of images; performing deskewing for each image; performing translational compensation for each image; selecting two images (first and second) among the plurality of images that have the highest similarity to each other; dilating the first image; converting the dilated first image into a binary form; eroding the converted first image to generate a first processed image; eroding the second image; converting the eroded second image into a binary form; dilating the converted second image to generate a second processed image; and extracting common portions of the first and second processed images to generate a final image. This method can be used to generate high quality scanned images of hard copy documents for purposes of document authentication.

Abstract: Disclosed is a method for accurately and efficiently detecting a modality of input data, including the steps of projecting the input data into a plurality of projection data using each of a plurality of transformation matrix groups U1·(?12U2T), generating a plurality of inverse projection data by performing inverse projection of the transformation matrix groups on the plurality of generated projection data, calculating a correlation between the input data and the generated inverse projection data with respect to each transformation matrix group U1·(?12U2T), and identifying a modality represented by a transformation matrix group having a highest calculated correlation as the modality of the input data.

Abstract: An image processing circuit inputs pixels of an RGB Bayer array therein. A chroma value calculation circuit calculates a chroma factor (KL) for evaluating the chroma of a surrounding area of a specified pixel. A correlation value calculation circuit calculates correlation values for gray image and color image. If the chroma factor (KL) is larger than a threshold value (TH1), a correlation judgment method for color image and a pixel interpolation method for color image are selected, if the chroma factor (KL) is not larger than a threshold value (TH1) and larger than a threshold value (TH2), a correlation judgment method using a correlation value obtained by overall judgment on the correlation values for gray image and color image and a pixel interpolation method for color image are selected, and if the chroma factor (KL) is not larger than a threshold value (TH2), a correlation judgment method for gray image and a pixel interpolation method for gray image are selected.

Abstract: Image quality is assessed for a digital image that is a composite of tiles or other image segments, especially focus accuracy for a microscopic pathology sample. An algorithm or combination of algorithms correlated to image quality is applied to pixel data at margins where adjacent image segments overlap and thus contain the same content in separately acquired images. The margins may be edges merged to join the image segments smoothly into a composite image, and typically occur on four sides of the image segments. The two versions of the same image content at each margin are processed by the quality algorithm, producing two assessment values. A sign and difference value are compared with other image segments, including by subsets selected for the orientation of the margins on sides on the image segments. The differences are mapped to displays. Selection criteria determine segments to be re-acquired.

Abstract: A method for producing a photo album includes providing a library of page layouts, selecting a first group of one or more images to be placed in the first page of the photo album, selecting a second group of one or more images to be placed in the second page of the photo album, graphically displaying the first group of one or more images within a first border that represents a first page, graphically displaying the second group of one or more images within a second border that represents a second page, automatically selecting a first page layout from the library of page layouts, and automatically placing the first group of one or more images into the one or more image receiving areas in the first page layout to produce the first page in the photo album.

Abstract: An image processing device, method, recording medium, and program where the device includes a simple-type angle detecting unit simply detects the angle as continuity using correlation from an input image. The device includes an input configured to input image data made up of a plurality of pixels acquired by real world light signals being cast upon a plurality of detecting elements, and a real world estimating unit configured to estimate light signals being cast in an optical low-pass filter.

Abstract: This patent application is generally related to watermarking and steganography. One claim recites a method of transmarking a media signal previously embedded with a first digital watermark using a first digital watermark embedding method. The method includes: utilizing a programmed electronic processor, detecting the first digital watermark in the media signal; converting the media signal to a different format; utilizing a programmed electronic processor, embedding detected message information from the first digital watermark into a second digital watermark in the converted media signal such that the second digital watermark is adapted to robustness or perceptibility parameters associated with the new format. Of course, other combinations and claims are provided as well.

Abstract: An image processing apparatus includes a storing unit that stores dictionary data including information on a feature area that indicates an area where a feature of a subject appears; and a subject determination unit that compares, when an input image is acquired, the feature area of the dictionary data with an area of the input image corresponding to the feature area of the dictionary data, to determine whether the input image includes the subject.

Abstract: Apparatuses, computer media, and methods for altering a submitted image of a person. The submitted image is transformed in accordance with associated data regarding the person's condition. Global data may be processed by a statistical process to obtain cluster information, and the transformation parameter is then determined from cluster information. The transformation parameter is then applied to a portion of the submitted image to render a transformed image. A transformation parameter may include a texture alteration parameter, a hair descriptive parameter, or a reshaping parameter. An error measure may be determined that gauges a discrepancy between a transformed image and an actual image. A transformation model is subsequently reconfigured with a modified model in order to reduce the error measure. Also, the transformation model may be trained to reduce an error measure for the transformed image.

Abstract: Disclosed herein is a method of compensating a signal of an image of one screen for distortions in the horizontal and/or vertical directions of a screen of the image. The method includes the steps of: dividing one screen area of the image into a plurality of picture divisions; and detecting a movement vector of the image for each particular one of the picture divisions from information on a difference in image between the particular picture division on one of two screens and the particular division on the other of the two screens.

Abstract: Provided are an optical vision chip (OVC) and an image recognition method using the OVC. The OVC includes: a first display displaying an object image; a second display displaying a standard model image; and an optical sensor optically or electrically coupling the object image and the standard model image respectively displayed on the first and second displays and outputting a difference between the object image and the standard model image as an electrical signal.

Abstract: A method and system are disclosed for generating enhanced images of multiple dimensional data using a depth-buffer segmentation process. The method and system operate in a computer system modify the image by generating a reduced-dimensionality image data set from a multidimensional image by formulating a set of projection paths through image points selected from the multidimensional image, selecting an image point along each projection path, analyzing each image point to determine spatial similarities with at least one other point adjacent to the selected image point in a given dimension, and grouping the image point with the adjacent point or spatial similarities between the points is found thereby defining the data set.