Abstract: Described is a system for improved electroencephalograph (EEG) rapid serial visual presentation (RSVP) target stimuli detection through visual attention distractor insertion. A first RSVP sequence is created comprising a set of image chips. The image chips are a combination of target images containing target events and non-target images containing comment events. A number of visual attention distractors to optimize target event detection is determined, and the determined number of visual attention distractors is inserted into the first RSVP sequence to generate a second RSVP sequence. The second RSVP sequence is reordered to generate a third RSVP sequence. The third RSVP sequence is presented to a user, and an EEG signal is received from the user. Finally, the EEG signal is decoded to identify a true target event via a P300 detection in the EEG signal.

Abstract: Systems, devices, features, and methods for determining geographic features corresponding to a travel path to develop a map database, such as a navigation database, are disclosed. For example, one method comprises emitting light from a light source, such as a LIDAR device, while on the travel path. Returning light is received based on the emitted light. The returning light is used to generate data points representing an area about the travel path. The data points are filtered as a function of a return intensity value to identify a feature associated with the travel path, in which the feature is treated with a retroreflective substance.

Abstract: In order to provide an image processing device and the like making it possible to generate a target image in which edges of a structure are upheld and from which streaking artifacts are removed, a computation device determines a shape of a non-linear function on the basis of feature amounts of an original image and a smoothed image (S101). Next, the computation device calculates a condition coefficient of the original image and the smoothed image by using the non-linear function for which the shape was determined in S101 (S102). Next, the computation device uses the condition coefficients calculated in S102 to calculate a weighting coefficient for each of the pixels of the original image and the smoothed image (S103). Next, the computation device adds weighting to the original image and the smoothed image to generate the target image (S104).

Abstract: To generate a reconstructed image suitable to characteristics of a bilaterally symmetric site and possible to an appropriate image diagnosis, a computation device: computes a back projection phase width at a rotational center and distance between the rotational center location which is a reference location and a pixel to be reconstructed; according to the distance between the rotational center location and the pixel to be reconstructed, sets a function (f1) changing the back projection phase width; computes a back projection phase width in the pixel to be reconstructed, substituting a value of the distance between the rotational center location and a pixel to be reconstructed in the function (f1); computes a view weighting, on the basis of the back projection phase width in the post-correction pixel to be reconstructed and a slope width of a view weighting function; and reconstructs a CT image, using the view weighting.

Abstract: There is provided an image processing device including a depth acquisition unit configured to acquire depth information of an object included in a captured image, an image combining unit configured to combine the object with an image object having depth information according to each piece of the depth information, and an effect processing unit configured to execute effect processing according to the depth information of the object.

Abstract: Techniques related to integral image coding are described herein.

Abstract: In at least some examples, a system comprises a processor and a memory coupled to the processor. The memory stores an image defect visibility predictor that, when executed by the processor, compares an original image with a defect image and outputs a predicted defect visibility image (PDVI) that accounts for defect masking by the original image.

Abstract: According to some embodiments, system and methods for image improvement comprise: receiving a plurality of frames of a given region of interest, the frames comprised of a plurality of pixels; determining, based on a quantum property of the frames, a normalized pixel intensity value for each pixel of each of the plurality of frames; and generating an improved image of the given region of interest based on the plurality of frames and the corresponding normalized pixel intensity values for the frames, the order of the image being two. Also embodiments for generating an image of a target illuminated by quantum entangled particles, such as, photons, are disclosed.

Abstract: A system of estimating image blur in digital images stored in a digital file. The disclosed system may calculate a blur value and direction of motion causing image blur based on detected edges within an input image and spectral energy information of the input image in the frequency domain.

Abstract: An image processing method includes: (a) reducing an original image to a reduced image; (b) generating a first correction value for each of pixels in the reduced image; (c) generating a second correction value for each of pixels in an intermediate image, using information on the pixel and the first correction value; (d) generating a third correction value for each of pixels in the original image, using the second correction value for the pixel in the intermediate image; and (e) correcting the original image, using the third correction value for each of the pixels in the original image. In step (d), the third correction value is generated with an amount of calculation for each of the pixels in the original image smaller than an amount of calculation for each of the pixels in the intermediate image in generating the second correction value.

Abstract: A character recognition method may include at least the following steps. A location step may include acquiring an image and locating a character region of the image. The character region may include a character and a local background. The method may further include a background judgment step for determining whether the local background is a complex background; a determination step for determining a color of the character if the local background is a complex background; a construction step for constructing a mask for the character by combining the color of the character and a character region; and a first recognition step for extracting the character from the character region by using the mask, recognizing the character, and outputting the recognition result. A character recognition device is further provided.

Abstract: An image processing apparatus includes a display for displaying an image layouted in accordance with arrangement information, an editing unit for editing the displayed image, a storage unit for storing a plurality of pieces of arrangement information, an arrangement information selecting unit for selecting the arrangement information used for layouting the image after editing in accordance with the arrangement information of the displayed image and editing information, and an image layouting unit for layouting the image in accordance with the selected arrangement information. With such a configuration, an image having no sense of discomfort after editing can be displayed upon editing such as adding or deleting of an image on a page or double pages displayed in a photo book or the like.

Abstract: A system for determining a high resolution image includes receiving a low resolution image and determining a vector of a patch of the low resolution image based upon a low resolution dictionary. The system includes determining a high resolution patch based upon a high resolution dictionary and the vector and determining the high resolution image based upon the high resolution patch.

Abstract: An apparatus and terminal perform a method for detecting image stability in image processing. The method includes: acquiring N consecutive image frames, wherein N is an integer equal to 2 or larger; performing in each of the N consecutive image frames, the following: detecting corner points in the image frame, dividing the image frame into multiple areas, and recording distribution of the corner points in each of the multiple areas of the image frame in order to obtain a description vector of the image frame; calculating a number of areas according to the description vector of the image frame over the N consecutive image frames, wherein an existing state of the corner points has changed; determining whether the N consecutive image frames are stable, based on the number of areas which the existing state of the corner points has changed over the N consecutive image frames.

Abstract: Aspects of the disclosure relate to generating a digital terrain model (“DTM”) from a digital surface model (“DSM”). For example, the DSM may include a plurality pixels associated with coordinate information and elevation information, including the elevation of features such as buildings and large vegetation. Initially, a set of vertices defining a polygon may be identified. A set of seed pixels, corresponding to points of the DSM of “bare” earth (without buildings or large vegetation) may also be identified. These may be the same or different from the set of vertices. An adaptive flood filler algorithm is used to evaluate the pixels of the polygon starting with the seed pixels. This process validates or invalidates the state of the pixels. The result is an approximation of a DTM for the polygon.

Abstract: A method includes reconstructing measured projection data using an iterative statistical reconstruction algorithm that reduces image artifact caused by differences in variances in projections of the measured projection data used to update a voxel of the image for one or more voxels of the image. A reconstructor includes a processor that reconstructs measured projection data using an iterative statistical reconstruction algorithm that reduces or mitigates image artifact caused by differences in variances in projections used to update a voxel of the image for one or more voxels of the image. A computer readable storage medium encoded with computer executable instructions, which, when executed by a processor of a computer, cause the processor to: reduce image artifact caused by differences in variances in projections used to update a voxel of an image for one or more voxels of the image using an iterative statistical reconstruction algorithm.

Abstract: A method and apparatus for performing pull frame interpolation are provided. Pull frame interpolation may include identifying a plurality of input video frames, generating a plurality of motion vectors indicating motion from a first frame of the plurality of input video frames to a second frame of the plurality of input video frames, identifying an interpolation point between the first frame and the second frame, generating a plurality of candidate interpolation motion vectors indicating motion from the first frame to the interpolation point and from the second frame to the interpolation point based on the plurality of motion vectors, selecting an interpolation motion vector from the plurality of candidate interpolation motion vectors based on a metric, and generating an interpolated frame at the interpolation point based on the selected interpolation motion vector.

Abstract: Hybrid images merge the benefits of map views and satellite images. A geographic information system includes a geographic information server and at least one database containing a plurality of map views and satellite images. A decomposition module of the geographic information server decomposes the map views and the satellite images into at least high frequency components and low frequency components. A map view and satellite image hybridization module blends the high frequency components from the map view and the high frequency components from the satellite image. Then, the hybridization module combines the low frequency components of the map view with the blended high frequency components from both the map view and the satellite image to form a hybrid image. The hybrid image can subsequently be stored in a database of the geographic information system and/or served to a client device via a network.

Abstract: Image-guided therapy of a tissue can utilize magnetic resonance imaging (MRI) or another medical imaging device to guide an instrument within the tissue. A workstation can actuate movement of the instrument, and can actuate energy emission and/or cooling of the instrument to effect treatment to the tissue. The instrument can be an MRI compatible laser probe that provides thermal therapy to, e.g., a tissue in a brain of a patient. By tracking a probe position within tissue through feedback, multiple data slices provided around the probe position can be processed to monitor treatment and view thermal data. The operator selects treatment area reference points with the assistance of noise masking.

Abstract: Systems, methods, and computer media for determining the angle of a target object with respect to a device are provided herein. Target object information captured at approximately the same time by at least two cameras can be received. The target object information can comprise images or distances from the target object to the corresponding camera. An angle between the target object and the device can be determined based on the target object information. When the target object information includes images, the angle can be determined based on a correlation between two images. When the target object information includes distances from the target object to the corresponding camera, the angle can be calculated geometrically.