Abstract: The present invention extends to methods, systems, and computing system program products for iteratively calculating a skewness for streamed data. Embodiments of the invention include iteratively calculating one or more components of skewness in an adjusted computation window based on the one or more components of the skewness calculated for a previous computation window and then calculating the skewness based on the iteratively calculated components. Iteratively calculating skewness avoids visiting all data elements in the computation window and performing redundant computations thereby increasing calculation efficiency, saving computing resources and reducing computing system power consumption.

Abstract: A prediction, diagnosis, or suggesting of a diagnosis of a psychiatric disorder is made based in embodiments of the disclosed technology by determining a shape of one or both pupils in an image of a patient. Such a diagnosis can be made in real-time by diagnosing the patient, or by viewing a digitized version of the patient's face as part of post-processing. By finding a pupil which is ovoid or irregular shape (non-circular) and/or comparing the shape to that of shapes of people with known psychiatric disorders, a diagnosis can be suggested.

Abstract: A system for robust disparity estimation in the presence of significant intensity variations for camera arrays is described herein. The system comprises a camera array, a memory and a processor. The memory is configured to store imaging data. The processor is coupled to the memory and the camera array. When executing instructions, the processor is to obtain a plurality of images and generate a sequence of color matched images, wherein the sequence includes each pair of images in the plurality of images. The processor is also to calculate a plurality of disparity points based on the sequence of color matched images.

Abstract: A projection system generates a pre-projective transformation image based on an extracted image obtained from a source image, applies projective transformation to the pre-projective transformation image using the parameters to produce an output image, and causes the projector assembly to output the output image and project a projected image on a surface for projection. If the extracted image has been obtained in a predetermined range of the source image, the projected image is projected onto the surface for projection so that an origin of the pre-projective transformation image is located at a predetermined position in the surface for projection.

Abstract: The present disclosure relates to a train type identification method and system, and a security inspection system and system. The train type identification method includes: continuously photographing a to-be-inspected train by using a linearity camera in motion relative to the to-be-inspected train, and generating a plurality of train sub-images; splicing the plurality of train sub-images to acquire a train image of the to-be-inspected train; extracting at least one train characteristic parameter from the train image; comparing the at least one train characteristic parameter with a prestored train type template; and automatically determining a type of the to-be-inspected train based on a comparison result.

Abstract: An image processing device comprises a unit configured to obtain image data representing an image of an object from an image capturing device; a unit configured to obtain an angular dependency of an intensity of light reflected by the object; a unit configured to calculate an angle of the light reflected by the object to the image capturing device; and a unit configured to correct the obtained image data based on the calculated angle and the obtained angular dependency.

Abstract: The present disclosure is to generate a high-quality image by correcting a predetermined correction target image based on a plurality of input images. In an image processing device 3, an image correcting section 160 detects a user tap gesture on a touch panel 250. When the position of the tap gesture is within foreground candidate areas detected by a foreground candidate area detecting section 140, the image correcting section 160 corrects a base image set by a base image setting section 120 in the areas corresponding to the foreground candidate areas.

Abstract: A projector adapted to deform an input image to generate an output image includes a geometric correction section adapted to perform a geometric correction of the input image, and a background data generation section adapted to output data of a post-correction image as data of the output image in the case in which the data of the post-correction image obtained by performing the geometric correction on the input image is input from the geometric correction section, and to output data of a background image to be a background of the post-correction image as the data of the output image in the case in which the data of the post-correction image is not input from the geometric correction section.

Abstract: An image de-noising method and an apparatus thereof are disclosed, which includes categorizing a pixel in a current frame into a first low-frequency pixel having a first weight and a first high-frequency pixel having a second weight; categorizing a previous pixel corresponding to the position of the pixel in a previous frame into a second low-frequency pixel having a third weight and a second high-frequency pixel having a fourth weight; adjusting the first weight and the third weight and calculating the weighted sum of the first low-frequency pixel and the second low-frequency pixel, to generate low-frequency pixel data; adjusting the second weight and the fourth weight and calculating the weighted sum of the first high-frequency pixel and the second high-frequency pixel, to generate high-frequency pixel data; and calculating the sum of the low-frequency pixel data and the high-frequency pixel data, to output the de-noised pixel.

Abstract: Aspects of the technology described herein detect visible abnormalities within a webpage or other document. The technology improves computing accuracy by identifying data and/or programing errors that cause the abnormalities. The abnormalities are detected through image analysis of portions of a document. Initially, a portion of a webpage associated with a particular feature is identified and then converted to a digital image. The digital image can capture the website as it would appear to a user viewing the website, for example, in a web browser application. The image is then analyzed against an established feature-pattern for the feature to determine whether the image falls outside of a normal range. When the image of a portion of the webpage falls outside of the normal range, a notification can be communicated to a person associated with the webpage, such as a system administrator.

Abstract: This invention relates to a method for identifying a sign on an image of a document that can be deformed comprising: an acquisition (E1) of said digital image of said document; a determination (E2) in the acquired image of at least one candidate sign region using an image segmentation algorithm, for each candidate sign region, a calculation (E3) of a signature comprising a piece of information concerning the location in the acquired image of said candidate sign region and a region descriptor concerning the local characteristics of the image in said region, an identification (E4) of a sign on the image of the document using the calculated signatures comprising jointly a comparison (E41) of the calculated signatures with reference signatures concerning sign regions of document models, said comparison being carried out according to a geometric deformation model of said document, and an estimation (E42) according to said comparison of said geometric deformation model.

Abstract: An embodiment of an image enhancement method is introduced for use in an electronic device. An image composed of a plurality of pixel values is first received, and each pixel therein is separated into two channels. The image is further divided into a plurality of blocks. A distribution of a selected channel is determined for each block, which is selected from the two channels. For each pixel, the pixel value of the selected channel is adjusted according to at least one distribution corresponding to at least one neighboring block. For each pixel, the pixel value of the other channel is adjusted according to the adjusted pixel value of the selected channel. As a result, the adjusted image is provided.

Abstract: An optical scanning observation system includes: an endoscope having an optical scanning portion for scanning an object; a drive signal generation portion configured to generate a drive signal and supply the signal to the optical scanning portion; an electric-current measurement portion configured to measure an electric current value of the drive signal; a first storage portion in which a measured electric current value when the temperature of the optical scanning portion is a predetermined temperature is stored; a second storage portion in which a plurality of parameters that are set according to the size of the measured electric current value are stored; and a correction processing portion configured to correct a scanning range of the endoscope by reading in from the second storage portion a parameter that corresponds to the size of the measured electric current value read in from the first storage portion.

Abstract: The present invention provides a unique intra prediction process which improves the efficiency of video coding. H.264/AVC uses reference pixels in a horizontal boundary located immediately above a target block to be predicted and reference pixels in a vertical boundary located immediately left of the target block. In the present invention, at least some of one of an array of horizontal boundary pixels and an array of vertical boundary pixels are retrieved. Then, the retrieved pixels are added to the other boundary pixels to extend the array thereof. Intra prediction is performed, based solely on the extended array of boundary pixels.

Abstract: A semiconductor image sensor is repeatedly exposed to high-energy photons while a visible light obstructer is in place to block visible light from impinging on the sensor to generate a set of images from the exposures. A composite image is generated from the set of images with common noise substantially removed so the composite image includes image information corresponding to radiated pixels that absorbed at least some energy from the high-energy photons. The composite image is processed to determine a set of bright points in the composite image, each bright point being above a first threshold. The set of bright points is processed to identify lines with two or more bright points that include pixels therebetween that are above a second threshold and identify a presence of the high-energy particles responsive to a number of lines.

Abstract: The present invention provides a system and method for generating a CT slice image. The system comprises an MIP image generation module, a region of interest determination module, an angle setting module, a curve determination module, a match module and a slice generation module.

Abstract: A method of correcting an image obtained by an image acquisition device includes obtaining successive measurements, Gn, of device movement during exposure of each row of an image. An integration range, idx, is selected in proportion to an exposure time, te, for each row of the image. Accumulated measurements, Cn, of device movement for each row of an image are averaged across the integration range to provide successive filtered measurements, G, of device movement during exposure of each row of an image. The image is corrected for device movement using the filtered measurements G.

Abstract: An adaptation hardware accelerator comprises a calculation unit to receive inputs at predefined time interval(s) that correspond to a calculation iteration, the inputs associated with adaptive filters having taps, and determine correlation and cross-correlation data based thereon for a given iteration. The correlation data comprises a correlation matrix. Determining the matrix comprises determining submatrices in an upper triangular portion and a diagonal portion of the matrix. The accelerator comprises an adaptation core unit to determine adaptive weights associated with the adaptive filters, respectively, based on an adaptive algorithm, utilizing the correlation and cross correlation data. The accelerator unit comprises a convergence detector unit to determine a convergence parameter; and a controller to generate an iteration signal for each time interval based on the parameter.

Abstract: Various approaches to image enhancement are disclosed. In one approach, an image to be enhanced and a boundary map are received. A field value array is made using the boundary map and the received image. For each field represented in the field value array, pixel values obtained from the received image are aggregated. An enhanced image is generated as output by performing a rereasterization using the aggregated values. In another approach, an image to be enhanced and an edge map are received. Edge-masked derivative matrices are constructed. The edge-masked derivative matrices are used to iteratively solve a series of linear equations, wherein solutions to the linear equations minimize an increasingly accurate quadratic approximation of a penalty function that measures a total amount of variation in a function, and a derivation of the function from the image. A vector result of the iterative solution is transformed into a raster image.

Abstract: A video-confocal microscopy method for creating an image of an optical section (?) of a sample (99), provides, in one aspect of the invention, illuminating the sample (99) with illumination beams (19) concentrated on spots (x,y) arranged in an illumination pattern (18) in an illumination plane (?0) at the optical section (?); translationally parallel moving the pattern (18) of spots (x,y) to a plurality of positions in the illumination plane; it also provides for each position (u,v) of the illumination pattern (18), receiving light (21) returned by the sample (99) by reflection and/or transmission and/or phosphorescence, and detecting raw images (52), each having a light intensity distribution Iu,v(x,y) on said image detector.

Abstract: A system for processing an image comprises a region detector (1). The region detector comprises an artifact detector (7) for detecting a region comprising an artifact in the image. The system comprises a parameter determining unit (2) for determining a parameter, based on a portion of the image excluding the detected region. The system comprises an image processing module (3) for processing the image, using the derived parameter. The system comprises a display unit (5) for displaying the processed image with an indication of the detected region. The parameter determined by the parameter determining unit (2) can comprise a normalization parameter, and the image processing module (3) can be arranged for performing a normalization of the image according to the normalization parameter.

Abstract: Motion blur may be applied to a light-field image. The light-field image may be captured with a light-field camera having a main lens, an image sensor, and a plurality of microlenses positioned between the main lens and the image sensor. The light-field image may have a plurality of lenslet images, each of which corresponds to one microlens of the microlens array. The light-field image may be used to generate a mosaic of subaperture images, each of which has pixels from the same location on each of the lenslet images. Motion vectors may be computed to indicate motion occurring within at least a primary subaperture image of the mosaic. The motion vectors may be used to carry out shutter reconstruction of the mosaic to generate a mosaic of blurred subaperture images, which may then be used to generate a motion-blurred light-field image.

Abstract: A defective pixel of an imaging device is detected. An output pixel value of the defective pixel is corrected to generate an output image. An imaging device, and a signal processing unit for analyzing an output signal from the imaging device and detecting a defective pixel are included. The imaging device receives incident light via, for example, a microlens placed in front of a pixel, inputs the same subject light on a local area basis including a plurality of pixels of the imaging device, and acquires an image signal lower than a pixel resolving power corresponding to the pixel density of the imaging device. The signal processing unit compares the pixel values of the same color pixels included in a local area on a local area basis including a cluster of the plurality of pixels of the imaging device, detects the defective pixel based on the comparison result, and corrects and outputs a pixel value of a pixel determined to be a defective pixel.

Abstract: Images are combined with high accuracy, and a high-definition image that is superior in the sensitivity and the saturation characteristics is formed. An image forming method includes detecting a difference between a plurality of images by comparing respective high-resolution areas included in the plurality of images; based on the difference, adjusting position information associated with the plurality of images, respectively; and combining respective low-resolution areas of the plurality of images in which the pieces of position information is adjusted.

Abstract: A digital image processing technique, such as an image warping operation, is stored in a pre-computed lookup table (LUT) prior to image processing. The LUT represents a pixel-to-pixel mapping of pixel coordinates in a source image to pixel coordinates in a destination image. For vectors containing only inlier pixels, a fast remap table is generated based on the original LUT. Each SIMD vector listed in the fast remap is indexed to the coordinates of one of the source pixels that maps to one of the destination pixels in the vector. Other SIMD vectors that contain at least one outlier pixel are listed in an outlier index. For each vector indexed in the fast remap, linear vector I/O operations are used to load the corresponding source pixels instead of using scatter/gather vector I/O load operations via the LUT. The remaining outlier pixels are processed using scatter/gather I/O operations via the LUT.

Abstract: A method detects phase-encoding ghosting in a MR image of an object to be imaged and mitigates the corresponding artifact in the MR image. The method includes acquiring MRI raw data of the object by a MRI apparatus. The MRI apparatus has multiple receiver channels for acquiring the MRI raw data. An artifact map of at least one part of the object to be imaged is calculated from the MRI raw data, the artifact map is configured for highlighting artifact appearing in the MR image. An outlier mask representing detected phase-encoding artifact is created in the artifact map. The phase-encode ghosting in the MR image is mitigated by using the previously obtained artifact map and the outlier mask for obtaining an improved MR image.

Abstract: A method and system for providing a fast image reconstruction of magnetic resonance spectroscopic imaging (MRSI) data based on applying, at least in part, interferometric techniques using a single receiver element. The images are reconstructed through temporally cross-correlating spacially incoherent k-space locations.

Abstract: A method performed by an electronic device is described. The method includes determining a local motion pattern by determining a set of local motion vectors within a region of interest between a previous frame and a current frame. The method also includes determining a global motion pattern by determining a set of global motion vectors between the previous frame and the current frame. The method further includes calculating a separation metric based on the local motion pattern and the global motion pattern. The separation metric indicates a motion difference between the local motion pattern and the global motion pattern. The method additionally includes tracking an object based on the separation metric.

Abstract: Noise is sufficiently reduced in a moving image. A determination section determines, each time an input image is input, whether a change amount of a pixel value distribution in the input image and an output image that is output is smaller than a predetermined threshold value. A mixing ratio supply section supplies a value that becomes larger as the number of times the change amount is sequentially determined to be smaller than the predetermined threshold value becomes larger, the value serving as a mixing ratio of the output image in mixing of the input image and the output image. A mixing section mixes, each time the input image is input, the input image and the output image based on the supplied mixing ratio and outputs the input image and the output image to serve as a new output image.

Abstract: Embodiments of the present invention provide systems, methods, and computer storage media directed towards automatic selection of regions for blur kernel estimation. In one embodiment, a process divides a blurred image into a regions. From these regions a first region and a second region can be selected based on a number of edge orientations within the selected regions. A first blur kernel can then be estimated based on the first region and a second blur kernel can be estimated for the second region. The first and second blur kernel can then be utilized to respectively deblur a first and second portion of the image to produce a deblurred image. Other embodiments may be described and/or claimed.

Abstract: Disclosed are various embodiments for a computing device that receives input, from a user, selecting an area of a displayed image, where the area includes the blemish sought to be corrected by the user. The computing device identifies a spot pattern of the blemish to be corrected within the area and a context pattern of the displayed image. The computing device corrects the spot pattern of the blemish within the displayed image. The computing device identifies related images that have context patterns similar to the context pattern of the displayed image. The computing device automatically corrects similar instances of the spot pattern appearing within the related images.

Abstract: A stereo image depth map generation device that includes a depth calculation module, a first order bilateral filter module and a second order bilateral filter module is provided. The depth calculation module receives a reference image including a plurality of reference pixels and a target image including a plurality of target pixels to generate an initial depth map according to pixel differences of the reference pixels and the target pixels. The first order bilateral filter module receives the initial depth map to perform a first order bilateral filtering calculation according to the initial depth map and the initial depth map itself to generate an averaged depth map. The second order bilateral filter module receives the averaged depth map and the target image to perform a second order bilateral filtering calculation according to the averaged depth map and the target image to generate a refined depth map.

Abstract: An image processing apparatus includes a determination unit (105) configured to determine a zooming direction, and a calculation unit (109) configured to calculate a correction coefficient for correcting aberration at a zoom position predicted from the zooming direction.

Abstract: An input rescale module that performs cross-color correlated downscaling of sensor data in the horizontal and vertical dimensions. The module may perform a first-pass demosaic of sensor data, apply horizontal and vertical scalers to resample and downsize the data in the horizontal and vertical dimensions, and then remosaic the data to provide horizontally and vertically downscaled sensor data as output for additional image processing. The module may, for example, act as a front end scaler for an image signal processor (ISP). The demosaic performed by the module may be a relatively simple demosaic, for example a demosaic function that works on 3×3 blocks of pixels. The front end of module may receive and process sensor data at two pixels per clock (ppc); the horizontal filter component reduces the sensor data down to one ppc for downstream components of the input rescale module and for the ISP pipeline.

Abstract: In various embodiments of the present disclosure, there is provided a method for processing an input image. The method includes generating a base layer portion and a detail layer portion from the input image by carrying out a linear transformation of pixels of a guidance image, and determining, for each of the pixels of the guidance image, a variance of the pixels in a surrounding window of pixels. Further, the method includes determining, for each of the pixels of the guidance image, a weight value of the pixels based on the determined variance, wherein the pixels are weighted in the linear transformation according to the determined weight value. Accordingly, a system for processing an input image is also provided.

Abstract: An apparatus and corresponding method for line-scan imaging includes a 2D array of light-sensitive detector elements divided into a plurality of sub-arrays. An electrical circuit can be configured to determine a correction for parallax based on detector element values from at least two rows of parallax detecting elements to enable images captured by the sub-arrays to be co-aligned with each other. The 2D array and parallax detecting elements can be located on the same substrate chip. Image data from sub-arrays can be co-aligned with each other based on parallax data from the parallax detecting elements and used to produce hyperspectral images corrected for parallax.

Abstract: A three-dimensional object detection has an image capturing device, an image conversion unit, a three-dimensional object detection unit, a three-dimensional object assessment unit, first and second foreign matter detection units and a controller. The image capturing device captures images rearward of a vehicle. The three-dimensional object detection unit detects three-dimensional objects based on image information. The three-dimensional object assessment unit assesses whether or not a detected three-dimensional object is another vehicle. The foreign matter detection units detect whether or not foreign matter has adhered to a lens based on the change over time in luminance values for each predetermined pixel of the image capturing element and the change over time in the difference between an evaluation value and a reference value. The controller outputs control commands to the other means to suppress the assessment of foreign matter as another vehicle when foreign matter has been detected.

Abstract: The present technique relates to an image processing device and an image processing method for realizing high-precision image generation of predetermined viewpoints by using depth images on the receiving end when the depth images with reduced resolutions are transmitted. A parallax image resolution increasing unit increases the resolution of each of the parallax images of auxiliary images having half the resolution of a compatible image. A parallax image warping unit generates parallax images of virtual viewpoints by performing a warping operation on the parallax images of the auxiliary images with the increased resolutions based on the positions of the virtual viewpoints. A smoothing unit corrects the parallax values of the occlusion regions in the parallax images of the virtual viewpoints. The present technique can be applied to decoding devices that decode glasses-free 3D images, for example.

Abstract: A method for aligning optical layers of a multi-layer display includes illuminating a display layer with a plurality of illumination sources of an illumination layer disposed behind the display layer. The display layer includes a plurality of transmissive pixel arrays. An illumination pattern is cast onto a screen layer disposed in front of the display layer. The illumination pattern includes bright regions due to overlapping illumination cast from adjacent ones of the transmissive pixel arrays. The bright regions of the illumination pattern cast onto the screen layer are analyzed to identify misalignments.

Abstract: A biometric image sensor system and method is disclosed which may comprise a first light source having a first wavelength ?1, a second light source having a second wavelength ?2, a photodetector configured and positioned to receive light of the first wavelength ?1 and light of the second wavelength ?2 reflecting from a biometric object being imaged and to produce a first output indicative of the amount of reflectance of the light of the first wavelength ?1 and a second output indicative of the amount of reflectance of the light of the second wavelength ?2, and a computing device configured to compare the difference between the first output and the second output with an authenticity threshold.

Abstract: A first area of an image is generated from a plurality of pixels existing on a line of interest that is set so as to pass through a pixel corresponding to a correction target pixel. A plurality of second areas are generated, each second area based on the positions of a plurality of pixels existing on at least one reference lines that are set so as not to pass through the correction target pixel. The value of the pixel corresponding to the correction target pixel is corrected using a value of a pixel on each of the at least one reference lines, the value being determined based on the amounts of correlation between the respective second areas and the first area.

Abstract: A method for correcting an image acquired by a hand-held scanning device. A binarized image of an acquired image is cropped by removing columns on the left end and on the right end of only first components. A work image is created from the cropped image by replacing in each row of components series of first components smaller than a predetermined distance with series of second components. In the work image, a central line is identified. The identified central line in the work image is used to identify the corresponding central line in the cropped image forming a central line image, and in the central line image, the central text line is straightened.

Abstract: A plenoptic camera comprising a camera lens, a lenslet array comprising a plurality of microlenses and a photosensor array. In order to determine reference pixels of sub-images, the camera lens comprises a light emitting device arranged in the aperture stop plane of the camera lens, the light emitting device lighting the photosensor array.

Abstract: An imaging device has a light field imager and a processor. The light field imager includes a microlens array, and a light field sensor positioned proximate to the microlens array, having a plurality of pixels and recording light field data of an optical target from light passing through the microlens array. The processor is configured to: receive the light field data of the optical target from the light field sensor, estimate signal to noise ratio and depth of the optical target in the light field data, select a subset of sub-aperture images based on the signal to noise ratio and depth, combine the selected subset of sub-aperture images, and perform image analysis on the combined subset of sub-aperture images.

Abstract: Provided is an image processing apparatus, including: a data acquisition unit configured to acquire light field data containing a plurality of parallax images; a setting unit configured to set a virtual focal plane of the light field data acquired by the data acquisition unit; a reconstruction unit configured to generate, based on the light field data acquired by the data acquisition unit, light field data in which a focal plane is moved to the virtual focal plane; a determination unit configured to determine a data reduction amount of the light field data generated by the reconstruction unit in accordance with a refocusable range of the light field data generated by the reconstruction unit; and a reduction unit configured to reduce an amount of data of the light field data generated by the reconstruction unit in accordance with the data reduction amount.

Abstract: According to one embodiment, an X-ray diagnostic apparatus includes an input circuit, an X-ray tube and an X-ray detector, and processing circuitry. The input circuit converts an input operation into an electric signal and output the electric signal. The X-ray tube and the X-ray detector image X-ray images of an object. The processing circuitry detects positions of feature points of devices from the X-ray images; generates corrected images by motion correction of the X-ray images when an electric signal corresponding to an input operation for selecting a predetermined device has been input from the input circuit; and displays the corrected images as the moving image in real time. The motion correction is performed based on positions of a feature point of the selected device. At least a part of the selected device nearly stops when the X-ray images have been displayed, by the motion correction.

Abstract: Disclosed is a bit expansion process portion that expands p bits, which a resolution of a brightness value of a digital input picture has, to q bits (where q>p). When a brightness value of an attention pixel of the digital input picture is bit-expanded, the bit expansion process portion applies a weight to the brightness value of the attention pixel according to a magnitude relation of the brightness value of the attention pixel and brightness values of a plurality of surrounding pixels, which are located surrounding the attention pixel, and conducts a gain compensation for the brightness value of the attention pixel after the weight is applied, thereby performing a bit expansion process from the p bits to the q bits.

Abstract: The invention relates to a method for calibrating a digital optical imaging system, comprising at least one motorized or coded zoom system and an image sensor, to a method for correcting aberrations in such an imaging system, and to an optical imaging system which is configured to carry out the methods according to the invention. During the calibration method, a reference object is recorded in various zoom settings and the image is corrected pixel-wise with digital-optical means using a previously determined model. To this end, distortion correction coefficients and image stability correction coefficients are ascertained. The real total magnification of the system is ascertained from the corrected image. The model ascertained in the calibration process also serves for correcting aberrations during operation of the imaging system.

Abstract: An image projection apparatus includes a projection unit that projects a pattern image on a projection surface; an image capturing unit that captures the projected pattern image; and a corrector that corrects the captured image so that an imaging distortion caused due to image capturing and a projection distortion caused due to projection are corrected. The projection unit projects the corrected captured image at a predetermined position on the projection surface.

Abstract: Systems, apparatus and methods are described including operations for graphics processing including spatial variant dependency pattern processing for GPU based intra prediction.