Abstract: A computing device obtains a to-be-processed video frame sequence of a first resolution. For each to-be-processed video frame in the to-be-processed video frame sequence, the computing device: (i) performs resolution reconstruction according to a resolution reconstruction model so as to obtain an initial reconstructed video frame of a second resolution, (ii) determines a contour region in the initial reconstructed video frame; and (iii) performs contour enhancement on the contour region to obtain a target reconstructed video frame. The computing device generates a reconstructed video frame sequence of the second resolution according to a plurality of target reconstructed video frames corresponding to the plurality of to-be-processed video frames.

Abstract: A test method includes generating first image data by imaging a display panel including pixels, generating boundary data by detecting a spot area in the display panel based on the first image data, generating second image data by deblurring the first image data with respect to a boundary area disposed at a boundary of the spot area based on the boundary data and generating correction data by setting a correction area including the boundary area based on the second image data.

Abstract: An image processing device comprising a processor configured to generate a refocused image from an input image and an map indicating depth information for the image, by the steps of: for each of a plurality of planes associated with respective depths within the image: generating a depth mask having values indicating whether regions of the input image are within a specified range of the plane, wherein an assessment of whether a region is within the specified range of the plane is made through the evaluation of a differentiable function of the range between regions of the input image and the plane as determined from the map; generating a masked image from the input image and the generated depth mask; refocusing the masked image using a blurring kernel to generate a refocused partial image; and generating the refocussed image from the plurality of refocussed partial images.

Abstract: A synthetic aperture sonar (SAS) system utilizes a novel timing and pointing method to illuminate and process data from multiple receive channels over one or more elevation swaths. The system further utilizes cross-track interferometry to improve accuracy of three-dimensional mapping.

Abstract: In an approach to generating conversational image representations, one or more computer processors detect one or more utterances by a user, wherein utterances are either textual or acoustic. The one or more computer processors generate one or more image representations of the one or more detected utterances utilizing a generative adversarial network restricted by one or more user privacy parameters, wherein the generative adversarial network is fed with an extracted sentiment, a generated avatar, an identified topic, an extracted location, and one or more user preferences. The one or more computer processors display the generated one or more image representations on one or more devices associated with respective one or more recipients of the one or more utterances.

Abstract: Provided are an image enlargement/reduction rate calculation apparatus, an image enlargement/reduction rate calculation method, and an image enlargement/reduction rate calculation program which are capable of outputting an image with a small blurriness degree. A blurriness value is calculated for each image area, and the smallest blurriness value is decided (step S24). Resolution of a printer that prints the image is read (step S25). An enlargement/reduction rate in which the blurriness value is equal to or smaller than a second threshold value is calculated based on the decided blurriness value (step S26).

Abstract: Correction performance is improved regarding a synthetic blur in which a plurality of blur characteristics is synthesized, for example, a focus blur that occurs in a superimposed projection image, or the like. An image processing device according to the present technology includes: a correction unit that obtains a plurality of blur-corrected images by performing blur correction processing on an input image regarding a focus blur that occurs in a projection image by an image projection device, by using a filter coefficient for blur correction corresponding to each of a plurality of blur characteristics, the filter each being obtained on the basis of the plurality of blur characteristics; and an image output unit that individually outputs the plurality of blur-corrected images obtained by the correction unit.

Abstract: Various techniques are disclosed for systems and methods to provide image resolution enhancement. For example, a method includes: receiving an original image (e.g., a visible light image) of a scene comprising image pixels identified by pixel coordinates; resizing the original image to a larger size, where the resized image is divided into a first plurality of reference blocks; enhancing a resolution of the resized image by iteratively: injecting high frequency data into the resized image, extracting from the resized image a first plurality of matching blocks that meet a mutual similarity condition with respect to the reference block, and adjusting the high frequency data of the reference block based on a correlation between the reference block and the first plurality of matching blocks. A system configured to perform such a method is also disclosed.

Abstract: A method and system for image reconstruction are provided. A projection image of a projection object may be obtained. A processed projection image may be generated based on the projection image through one or more pre-process operations. A reconstructed image including an artifact may be reconstructed based on the processed projection image. The artifact may be a detector edge artifact, a projection object edge artifact, and a serrated artifact. The detector edge artifact, the projection object edge artifact, and the serrated artifact may be removed from the reconstructed image.

Abstract: A method of correcting dynamic vision sensor (DVS) events is described. The method generates event data including events representing motion information of an object included in an image. Additionally, the method generates image data capturing an image and generates edge data representing edge information of the image based on the image data. The method also generates omitted events of the event data based on the edge data. Accuracy of the event data and performance of machine vision devices and systems operating based on the event data are enhanced by supplementing the omitted events of the event data provided from the DVS, using the edge information.

Abstract: A method and apparatus for multiple-access wireless transmission is disclosed. The method involves mapping a plurality of signals onto a multi-dimensional non-Gaussian source manifold, the plurality of signals including signals targeted for transmission to a plurality of receivers. The method also involves transforming the source manifold into a multi-dimensional target manifold using a polarization stream network. The method further involves generating a multiple-access transmission waveform for transmission to the plurality of receivers, the multiple-access transmission waveform being based on the target manifold.

Abstract: One embodiment provides a method comprising maintaining a weather model based on predicted weather conditions for an air traffic control zone. A hash table comprising multiple hash entries is maintained. Each hash entry comprises a timestamped predicted weather condition for a cell in the zone. A flight plan request for a drone is received. The request comprises a planned flight path for the drone. For at least one cell on the planned flight path, same latitude or same longitude cells, whichever is most closely orthogonal to a direction of the planned flight path, are heuristically probed. Weather conditions for the at least one cell are estimated based on predicted weather conditions for the same latitude or same longitude cells. An executable flight plan is generated if the planned flight path is feasible based on the estimated weather conditions; otherwise, a report including an explanation of infeasibility is generated instead.

Abstract: A cooking chamber includes thermal camera of a lower resolution and a color camera of a higher resolution. The two cameras capture images at the same time to obtain a thermal image and a color image. The thermal image is processed to correlate respective subsets of its pixels to corresponding subsets of pixels in the color image for one or more food items identified in the in accordance with established calibration rules, establishing correlations between pixels of the second image to respective sets of pixels corresponding to the one or more food items identified in the two images, where the established calibration rules associate the perspectives and resolutions of the two cameras. A temperature map is generated for the one or more food items with the second resolution in accordance with the established correlations.

Abstract: An image processing apparatus divides a plurality of difference images that are based on addition and subtraction between a plurality of parallax images, and a composite image that is based on addition between a plurality of parallax images, into a plurality of sub-bands including a sub-band that includes high-frequency components and a sub-band that does not include high-frequency components. When encoding the plurality of difference images and the composite image, as for the plurality of difference images, the image processing apparatus encodes data of the sub-band that includes high-frequency components, and, as for the composite image, the image processing apparatus encodes data of the plurality of sub-bands.

Abstract: An image processing circuit obtains filter information individually corresponding to two or more types of image stabilization processing used in shooting and performs predetermined computational processing based on the filter information individually corresponding to the two or more types of image stabilization processing to create a correction filter for use in correcting a captured image. Then, the image processing circuit performs correction processing using the created correction filter on the captured image captured using the two or more types of image stabilization processing.

Abstract: Methods, systems, and apparatuses for detecting and describing heterogeneity in a cell sample are disclosed herein. A plurality of fields of view (FOV) are generated for one or more areas of interest (AOI) within an image of the cell sample are generated. Hyperspectral or multispectral data from each FOV is organized into an image stack containing one or more z-layers, with each z-layer containing intensity data for a single marker at each pixel in the FOV. A cluster analysis is applied to the image stacks, wherein the clustering algorithm groups pixels having a similar ratio of detectable marker intensity across layers of the z-axis, thereby generating a plurality of clusters having similar expression patterns.

Abstract: A method and system for image reconstruction are provided. A projection image of a projection object may be obtained. A processed projection image may be generated based on the projection image through one or more pre-process operations. A reconstructed image including an artifact may be reconstructed based on the processed projection image. The artifact may be a detector edge artifact, a projection object edge artifact, and a serrated artifact. The detector edge artifact, the projection object edge artifact, and the serrated artifact may be removed from the reconstructed image.

Abstract: A method and system for image reconstruction are provided. A projection image of a projection object may be obtained. A processed projection image may be generated based on the projection image through one or more pre-process operations. A reconstructed image including an artifact may be reconstructed based on the processed projection image. The artifact may be a detector edge artifact, a projection object edge artifact, and a serrated artifact. The detector edge artifact, the projection object edge artifact, and the serrated artifact may be removed from the reconstructed image.

Abstract: An imaging device is disclosed. The device comprises an image sensor configured to capture image data and a filter. The filter is configured to selectively control a range of wavelengths of light entering the image sensor. The filter comprises a liquid crystal structure configured to pass the range of wavelengths in a first configuration and reflect the range of wavelengths in a second configuration. The device further comprises a controller in communication with the image sensor and the filter. The controller is configured to adjust the filter from the first configuration to the second configuration in response to an environmental lighting condition.

Abstract: Systems, methods, and computer-readable media having computer-executable instructions embodied thereon for protocol driven image acquisition are provided. In embodiments, a protocol is received by an image capturing device. The protocol comprises orders from a clinician, a workflow for capturing at least one image, or a combination thereof. At least one field for receiving metadata to be associated with the at least one image allows structured documentation to begin on the image capturing device. The at least one image and associated metadata are communicated to a medical information system. A patient is identified by the metadata or an existing patient to device association and the at least one image is associated with an electronic medical record for the patient.

Abstract: A vision based sensor, image processing method and system, and an interactive device including the same are provided. The sensor includes an optical lens, an image acquisition chip that captures image resolution below a first threshold, and a micro-controller. The image acquisition chip acquires an object's image through the optical lens, and output an ultra-low resolution image with a resolution below the first threshold, and sends the ultra-low resolution image to the micro-controller. The micro-controller obtains object information by analyzing the ultra-low resolution image, and sends the object information to an external component, so that the external component performs a predefined act.

Abstract: In general, techniques are described that facilitate processing of color image data using both a mono image data and a color image data. A device comprising a monochrome camera, a color camera, and a processor may be configured to perform the techniques. The monochrome camera may capture monochrome image data of a scene. The color camera may capture color image data of the scene. A processor may determine a parallax value indicative of a level of parallax between the monochrome image data and the color image data and determine that the parallax is greater than the parallax threshold. The processor may further combine, in response to the determination that the parallax is greater than the parallax threshold, a luma component of the color image data with a luma component of the monochrome image data to generate a luma component of enhanced color image data.

Abstract: An image processing method for processing an input image is provided. The image processing method includes the following steps: selecting a pixel of the input image; determining if the pixel is a first image edge according to at least one first calibrated pixel and at least one second pixel in the input image, in which the first calibrated pixel corresponds to at least one first pixel in the input image; and replacing a high frequency component of at least one channel of the pixel with a first calibrating high frequency component to generate a calibrated pixel if the pixel is not the first image edge, and maintaining the pixel as the calibrated pixel if the pixel is the first image edge.

Abstract: Systems and methods directed toward combining visible light and infrared images can include processing visible light image data to determine an edge factor value for a plurality of visible light pixels corresponding to the strength of an edge at that location. The edge factor value can be determined using features from the visible light image data and an edge gain input, which may be adjustable by a user. The edge factor values are combined with an edge midscale value to create a first set of modified visible light image data including pixels emphasized based on the strength of the edge in the visible light image. The modified visible light image data is combined with infrared image data to create combined image data having contribution from the infrared image data and the edge factor values from the visible light image data.

Abstract: A method and system for image reconstruction are provided. A projection image of a projection object may be obtained. A processed projection image may be generated based on the projection image through one or more pre-process operations. A reconstructed image including an artifact may be reconstructed based on the processed projection image. The artifact may be a detector edge artifact, a projection object edge artifact, and a serrated artifact. The detector edge artifact, the projection object edge artifact, and the serrated artifact may be removed from the reconstructed image.

Abstract: A method and system for image reconstruction are provided. A projection image of a projection object may be obtained. A processed projection image may be generated based on the projection image through one or more pre-process operations. A reconstructed image including an artifact may be reconstructed based on the processed projection image. The artifact may be a detector edge artifact, a projection object edge artifact, and a serrated artifact. The detector edge artifact, the projection object edge artifact, and the serrated artifact may be removed from the reconstructed image.

Abstract: Systems and methods for determining point-to-point distances from 3D image data. In some embodiments, two measure points, for example specified by a user, represent endpoints on an object of interest within an image frame. Assuming all points lying between these endpoints also belong to the object of interest, additional 3D data associated with points that lie along a measurement line defined by the measure points may be leveraged to provide a robust distance measurement. In some embodiments, total least squares fitting is performed, for example through Robust Principal Component Analysis (RPCA) to identify linear structures within the set of the 3D coordinates on the measurement line. In some exemplary embodiments, the minimum covariance determinant (MCD) estimator of the covariance matrix of the data is computed for a highly robust estimate of multivariate location and multivariate scatter.

Abstract: Methods, systems and computer program products for automatic adjustment of video orientation are provided. A computer-implemented method may include receiving a video comprising a plurality of image frames, detecting an orientation change in the video, determining a standard orientation for the video, and adjusting the video to the standard orientation by resizing one or more of the image frames and by rotating one or more of the image frames to the standard orientation. The adjusted video in the standard orientation then may be provided to a user.

Abstract: A method and system for image reconstruction are provided. A projection image of a projection object may be obtained. A processed projection image may be generated based on the projection image through one or more pre-process operations. A reconstructed image including an artifact may be reconstructed based on the processed projection image. The artifact may be a detector edge artifact, a projection object edge artifact, and a serrated artifact. The detector edge artifact, the projection object edge artifact, and the serrated artifact may be removed from the reconstructed image.

Abstract: Systems with an array camera augmented with a conventional camera in accordance with embodiments of the invention are disclosed. In some embodiments, the array camera is used to capture a first set of image data of a scene and a conventional camera is used to capture a second set of image data for the scene. An object of interest is identified in the first set of image data. A first depth measurement for the object of interest is determined and compared to a predetermined threshold. If the first depth measurement is above the threshold, a second set of image data captured using the conventional camera is obtained. The object of interest is identified in the second set of image data and a second depth measurement for the object of interest is determined using at least a portion of the first set of image data and at least a portion of the second set of image data.

Abstract: A system and method for processing digital images that efficiently buffers pixel data relating to digital images is disclosed. Pixel values are read from an image storage memory and temporarily stored in a buffer memory according to a non-raster pattern. The processing of pixels also occurs according to a more efficient non-raster patter.

Abstract: An image processor and method for processing a sub-image (100a) specified within a global image (100). The processor (DZC) and the method yield a modified sub-image (100m) with spatial frequencies of large scale structures suppressed or removed and the modified sub-image is adapted to the dynamic grey value range of a screen (110) on which said modified sub-image (100m) is to be displayed.

Abstract: Embodiments of imaging devices of the present disclosure automatically utilize sequential image captures in an image processing pipeline. In one embodiment, control processing circuitry captures a plurality of sub-frames, each of the sub-frames comprising a representation of a scene captured at a different focus position of a lens. A depth map of the scene may be generated comprising a depth of the portion of the scene based at least upon the focus position at which the one of the sub-frames was captured. An output frame of the scene may also be generated by utilizing pixel values of the sub-frame which are determined to be at optimal focus positions.

Abstract: This disclosure provides a method, system and computer program product for denoising an image by extending a Block Matching and 3D Filtering algorithm to include decomposition of high contrast image blocks into multiple layers that are collaboratively filtered. According to an exemplary method, the high contrast image blocks are decomposed into a top layer, a bottom layer and a mask layer.

Abstract: A transform function represented by at least n points that define n?1 regions is determined based at least in part on a first set of values associated with a display frame and a maximum average contrast function. The n points can be determined in response to a change in an average contrast of the display frame compared to an average contrast of a previous display frame exceeding a predetermined threshold. The first set of values is converted to a corresponding second set of values based on the transform function. A backlight control signal is generated based on an average contrast of the second set of values, whereby the backlight control signal is configured to control an intensity of a backlight of a display. Further, a video signal is generated based on the second set of values, whereby the video signal configured to drive the display.

Abstract: A device and method are provided for providing feedback based on the state of an object. In one implementation, an apparatus for processing images is provided. The apparatus may include an image sensor configured to capture real time images from an environment of a user and at least one processor device configured to initially process at least one image to determine whether an object is likely to change its state. If a determination is made that the object is unlikely to change its state, the at least one processor device may additionally process the at least one image and provide a first feedback. If a determination is made that the object is likely to change its state, the at least one processor device may continue to capture images of the object and alert the user with a second feedback after a change in the state of the object occurs.

Abstract: Provided is an apparatus and method for reducing noise in an image, the apparatus including a reference image creator unit to create a reference image based on chrominance about a plurality of channels included in an output image obtained from an image sensor of a camera, and a noise reduction unit to perform noise reduction for the respective channels using the created reference image. The plurality of channels may include at least one of a green channel, a red channel, and a blue channel.

Abstract: A motionless adaptive focus stereoscopic scene capture apparatus employing tunable liquid crystal lenses is provided. The apparatus includes at least two image sensors preferably fabricated as a monolithic stereo image capture component and at least two corresponding tunable liquid crystal lenses preferably fabricated as a monolithic focus adjustment component. Using a variable focus tunable liquid crystal lens at each aperture stop provides constant magnification focus control. Controlled spatial variance of a spatially variant electric field applied to the liquid crystal of each tunable liquid crystal lens provides optical axis shift enabling registration between stereo images. A controller implements coupled auto-focusing methods employing multiple focus scores derived from at least two camera image sensors and providing multiple tunable liquid crystal lens drive signals for synchronous focus acquisition of a three dimensional scene.

Abstract: A display device, and an optical compensation system and an optical compensation method thereof. A display device including a display panel including pixels; and a display driving circuit for driving the display panel and including: a storage unit for storing defect pixel information indicating which of the pixels are detected as defect pixels based on a brightness trend line of the pixels, and for storing compensation parameters regarding the defect pixels; and a brightness compensation unit for converting image data corresponding to the defect pixels according to the defect pixel information and the compensation parameters.

Abstract: Techniques for sharpening an image using local spatial adaptation and/or patch-based image processing. An image can be sharpened by creating a high-frequency image and then combining that high frequency image with the image. This process can be applied iteratively by using the output of one iteration, i.e., the sharpened image, as the input to the next iteration. Using local spatial adaptation and/or patch-based techniques can provide various advantages. How to change the intensity at a given position in the image can be calculated from more than just information about that same position in the input image and the blurred image. By using information about neighboring positions an improved high frequency image can be determined that, when combined with the input image, reduces ringing and halo artifacts, suppresses noise boosting, and/or generates results with sharper and cleaner edges and details.

Abstract: Techniques to generate global tone-mapping operators (G-TMOs) that, when applied to high dynamic range images, visually approximate the use of spatially varying tone-mapping operators (SV-TMOs) are described. The disclosed G-TMOs provide substantially the same visual benefits as SV-TMOs but do not suffer from spatial artifacts such as halos and are, in addition, computationally efficient compared to SV-TMOs. In general, G-TMOs may be identified based on application of a SV-TMO to a down-sampled version of a full-resolution input image (e.g., a thumbnail). An optimized mapping between the SV-TMO's input and output constitutes the G-TMO. It has been unexpectedly discovered that when optimized (e.g., to minimize the error between the SV-TMO's input and output), G-TMOs so generated provide an excellent visual approximation to the SV-TMO (as applied to the full-resolution image).

Abstract: An endoscope apparatus includes a light source unit, an imaging element, a density calculating section, and an image processing section, wherein the image processing section changes frequency processing conditions with respect to the captured image such that the detection and enhancement degree of the structure and components of the living body in the subject are changed according to at least the density of each pixel of the captured image.

Abstract: A system, method, and computer program product are provided for enhancing an image utilizing a hyper-clarity transform. In use, an image is identified. Additionally, the identified image is enhanced, utilizing a hyper-clarity transform. Further, the enhanced image is returned.

Abstract: In a method and device for improving image rendition by contrast and/or sharpness enhancement the sharpness enhancement is made dependent on the local average luminance value. A mix is made of spatially enhanced image signals is used, wherein for various signal differing spatial frequencies are boosted. The mixing factors for mixing of the boosted signals are dependent on a local average luminance value such that the distribution over frequency bands shifts to higher frequencies and sharper enhancement as the luminance value increases.

Abstract: Method and apparatus for processing edges in an image are provided. The method in an embodiment includes the following steps. With respect to a cross-shaped patterned centered at a target pixel of an input image, a first-direction gradient along a first direction and a second-direction gradient along a second direction are calculated. According to the first-direction and second-direction gradients, it is determined whether to compensate the target pixel based on pixel values of a first plurality of pixels along the second direction or pixel values of a second plurality of pixels along the first direction within the cross-shaped pattern, or to output a pixel value of the target pixel.

Abstract: An image processing apparatus and an image fine-tuning method are provided. The image processing apparatus includes a high-pass filter, a block comparator, an image data reconstructor, and a calculator. The high-pass filter receives a first image to generate a filtered image. The block comparator receives an input image and the first image to generate a block comparison result. The image data reconstructor receives the filtered image and the block comparison result to generate image reconstruction data. The calculator receives the input image and the image reconstruction data to generate an output image.

Abstract: An image processing apparatus including a first image processing unit and a second image processing unit. The first image processing unit is configured to calculate a parameter for image processing based on a first image, but not based on a second image, and execute the image processing on the first image using the parameter. The second image processing unit is configured to execute the image processing on the second image using the parameter.

Abstract: This invention provides an image free from camera shake by using a plurality of images captured by a camera array image capturing apparatus. A determination unit determines whether to execute a camera shake correction processing. A memory unit temporarily stores only a group of images determined by a determination unit to be camera shake corrected. A camera shake correcting unit synthesizes images to correct blurs in the images. A matching point searching unit determines matching pixels by checking pixel value similarity between images. A moving amount calculating unit, based on the result acquired by the matching point searching unit, calculates a moving amount of each pixel between images. A position correcting unit, based on the moving amount of each pixel calculated by the moving amount calculating unit, corrects the positions of the images. An image synthesizing unit synthesizes a group of images that are position-corrected by the position correcting unit.

Abstract: An image processing device includes a processor and a memory storing instructions causing the processor to: generate a first intermediate image by applying, to an input image, inverse conversion being inverse of conversion corresponding to degrading process of imaging the input image; generating a second intermediate image by adding a frequency component to the input image; generate a weighting factor so that a second residual error between a second image and the input image becomes smaller than a first residual error between a first image and the input image, the first image being obtained by applying the conversion to the second intermediate image, and the second image being obtained by applying the conversion to a composite image obtained by the weighted addition of the first and second intermediate images; and generate the composite image by performing the weighted addition of the first and second intermediate images using the weighting factor.

Abstract: A signal processing device that processes sharpening of an image with respect to an input signal (SR) that represents the image and outputs an output signal (SO) that represents the sharpened image includes an oversampler that generates an oversampled signal by interpolating a signal in order to increase a sampling frequency with respect to an input signal (SR), and a sharpening processing unit to which the oversampled signal is inputted and which generates a sharpened signal in which high frequency band components in the oversampled signal are nonlinearly monotonically increased in a broad sense, and the sharpened signal is outputted as the output signal (SO).