Abstract: Embodiments of the present invention disclose a system and method for reducing noise in a digital image. The method comprises calculating a spatial weight for each pixel s in a current frame, wherein said spatial weight is computed based on a summation of diffused values associated with the pixel s; and selectively filtering an intensity I of the pixel s spatially using said spatial weight.

Abstract: A system includes a sensor including a set of cameras configured to capture a set of images of an enclosed space. The system further includes a processor and a non-transitory computer-readable medium containing instructions which, when executed on the processor, cause the processor to perform operations including: (a) receiving the set of images captured by the set of cameras; (b) pre-processing the set of images to increase quality and reduce effect of ambient lighting; (c) building a disparity map for the set of images based at least in part on a relationship between the set of cameras; and (d) determining an occupancy of the enclosed space based at least in part on the disparity map. The system can be used to determine occupancy in a trailer with irregularly shaped cargo using low cost sensors.

Abstract: The present disclosure discloses a method for reconstructing geostationary ocean color satellite data based on Data INterpolating Empirical Orthogonal Functions. The method includes steps of: 1) for an original ocean color remote sensing area, using concentration detection and edge detection to eliminate abnormal image elements; 2) in the Data INterpolating Empirical Orthogonal Functions, using Laplace smoothing filter to smoothly filter a time covariance matrix; 3) for temporal modes value obtained by the Data INterpolating Empirical Orthogonal Functions, first decomposing it into sub-temporal mode, then adopting empirical modal decomposition, and finally performing interpolation, to obtain an ocean color remote sensing reanalysis data set that maintains its original accuracy and full coverage of time and space.

Abstract: This disclosure describes techniques for updating planogram data associated with a facility. The planogram may indicate, for different shelves and other inventory locations within the facility, which items are on which shelves. For example, the planogram data may indicate that a particular item is located on a particular shelf. Therefore, when a system identifies that a user has taken an item from that shelf, the system may update a virtual cart of that user to indicate addition of the particular item. In some instances, however, a new item may be stocked on the example shelf instead of a previous item. The techniques described herein may use sensor data generated in the facility to identify this change and update the planogram data to indicate an association between the shelf and the new item.

Abstract: A method and a device for encoding/decoding images are disclosed. The method for encoding images comprises the steps of: deriving a scan type of a residual signal for a current block according to whether or not the current block is a transform skip block; and applying the scan type to the residual signal for the current block, wherein the transform skip block is a block to which transform for the current block is not applied and is specified on the basis of information indicating whether or not transform for the current block is to be applied.

Abstract: A computer-implemented method is provided for improving live video quality. The method comprises: (a) acquiring, using a medical imaging apparatus, a stream of consecutive image frames of a subject; (b) feeding the stream of consecutive image frames to a first set of denoising components, wherein each of the first set of denoising components is configured to denoise an image frame from the stream of consecutive image frames in a spatial domain to output an intermediate image frame; (c) feeding a plurality of the intermediate image frames to a second denoising component, wherein the second denoising component is configured to (i) denoise the plurality of the intermediate image frames in a temporal domain and (ii) generate a weight map; and outputting a final image frame with improved quality in both temporal domain and spatial domain based at least in part on the weight map.

Abstract: A method and a device for encoding/decoding images are disclosed. The method for encoding images comprises the steps of: deriving a scan type of a residual signal for a current block according to whether or not the current block is a transform skip block; and applying the scan type to the residual signal for the current block, wherein the transform skip block is a block to which transform for the current block is not applied and is specified on the basis of information indicating whether or not transform for the current block is to be applied.

Abstract: An image processing system, includes a processor, wherein the processor is configured to obtain image pixel data generated by an optical imaging system of a microscope, to perform deconvolution processing on the obtained image pixel data for generating deconvolved image pixel data, to perform denoising processing on the obtained image pixel data for generating denoised image pixel data, to obtain a sampling density based on which the image pixel data is generated by the optical imaging system, and to mix the deconvolved image pixel data and the denoised image pixel data for generating mixed image pixel data with a weighting dependent on the sampling density to change a ratio of the deconvolved image pixel data in relation to the denoised image pixel data when the sampling density exceeds an oversampling limit.

Abstract: A system for removing a noise artifact from an image of a document extracts a first set of features from the image, where the first set of features represents items on the image. The system identifies noise artifact features from the first set of features representing pixel values of the noise artifact. The system generates a second set of features by removing the noise artifact features from the first set of features. The system generates a test clean image of the document based on the second set of features as an input. The system determines whether a portion of the test clean image that previously displayed the noise artifact corresponds to a counterpart portion of the training clean image. If it is determined that the portion of the test clean image corresponds to the counterpart portion of the training clean image, the system outputs the test clean image.

Abstract: A system and method for accessing elements of a table in a digital image of the table, including: obtaining the digital image of the table; finding table elements in the digital image based on digital table properties, wherein the table elements define table cells; calculating coordinates of the table cells in the digital image based on the table elements; and accessing content of a selected table cell in the digital image using the coordinates of the selected table element.

Abstract: Methods and systems for detecting keypoints in image data may include an image sensor interface receiving pixel data from an image sensor. A front-end pixel data processing circuit may receive pixel data and convert the pixel data to a different color space format. A back-end pixel data processing circuit may perform one or more operations on the pixel data. An output circuit may receive pixel data and output the pixel data to a system memory. A keypoint detection circuit may receive pixel data from the image sensor interface in the image sensor pixel data format or receive pixel data after processing by the front-end or the back-end pixel data processing circuits. The keypoint detection circuit may perform a keypoint detection operation on the pixel data to detect one or more keypoints in the image frame and output to the system memory a description of the one or more keypoints.

Abstract: An image processing apparatus comprises an obtaining unit that obtains a plurality of images obtained by irradiating radiation having different energies, a generating unit that generates a processed image by compositing the plurality of images, and a compositing unit that generates a composite image by compositing one image among the plurality of images and the processed image so as to enhance a low-frequency component of the one image and enhance a high-frequency component of the processed image.

Abstract: A first group of interpolation calculators performing interpolation by mean preserving interpolation calculation, and a second group of interpolation calculators performing interpolation by interpolation other than the mean preserving interpolation calculation are provided. Each of the interpolation calculators performs interpolation calculation for the missing pixel to calculate an interpolation candidate value (M(h)), and calculates test interpolation values (M(t)) treating pixels in a vicinity of the missing pixel as test pixels. A decider (4) selects one of the plurality of interpolation calculators based on results of the test interpolation. An outputter (5) selects the interpolation candidate value outputted from the interpolation calculator selected by the decider (4), among the plurality of interpolation candidate values (M(h)), and outputs the selected interpolation candidate value.

Abstract: An optical sensor system mounted in a wheel arch of a car for determining trajectory of the car includes: a first optical sensor mounted in the wheel arch above a wheel and located behind a first clear casing that does not touch the wheel; and a second optical sensor mounted in the wheel arch on one side of the wheel and located behind a second clear casing that does not touch the wheel. The first optical sensor and second optical sensor perform a plurality of counts corresponding to respectively capturing a plurality of images of the wheel. The captured images are compared with a reference image to determine a 2D displacement of the wheel from its original position. The trajectory of the car is determined by calculating a turning degree of the wheel according to a trigonometric manipulation of the measured 2D displacement.

Abstract: In general, intelligent fuel dispensers are provided. In at least some implementations, an intelligent fuel dispenser can determine customer identities and/or other characteristics and provide customized fueling sessions based on the determined customer identities and/or other characteristics. In at least some implementations, the fuel dispenser includes a touchless interface allowing customers to complete fueling sessions with minimal physical contact with the fuel dispenser.

Abstract: Provided is an operation method of an image signal processor (ISP) configured to perform signal processing on a raw image received from an image device, the operation method including generating a plurality of multi-scale images based on an input image, the plurality of multi-scale images having resolutions that are different from each other, iteratively performing a fast global weighted least squares (FGWLS) based operation on each of the plurality of multi-scale images to generate a final illuminance map, and outputting an enhanced image based on the final illuminance map and the input image.

Abstract: Disclosed is a method of, and associated apparatus for, determining an edge position relating to an edge of a feature comprised within an image, such as a scanning electron microscope image, which comprises noise. The method comprises determining a reference signal from said image; and determining said edge position with respect to said reference signal. The reference signal may be determined from the image by applying a 1-dimensional low-pass filter to the image in a direction parallel to an initial contour estimating the edge position.

Abstract: Various image sharpening techniques are disclosed. For example, a method for image sharpening includes obtaining, using at least one sensor of an electronic device, an image that includes visual content. The method also includes generating an edge map that indicates edges of the visual content within the image. The method further includes applying a high-pass signal and an adaptive gain based on the edge map to sharpen the image. The method also includes generating a bright halo mask and a dark halo mask based on the edge map, where the bright halo mask indicates an upper sharpening limit and the dark halo mask indicates a lower sharpening limit. In addition, the method includes modifying a level of sharpening at one or more of the edges within the sharpened image to provide halo artifact reduction based on the bright halo mask and the dark halo mask.

Abstract: Techniques for lossless compression of a digital image using prior image context.

Abstract: Optical flow refers to the pattern of apparent motion of objects, surfaces, and edges in a visual scene caused by the relative motion between an observer and a scene. Optical flow algorithms can be used to detect and delineate independently moving objects, even in the presence of camera motion. The present invention uses optical-flow algorithms to detect and remove marine snow particles from live video. Portions of an image scene which are identified as marine snow are reconstructed in a manner intended to reveal underwater scenery which had been occluded by the marine snow. Pixel locations within the regions of marine snow are replaced with new pixel values that are determined based on either historical data for each pixel or a mathematical operation, such as one which uses data from neighboring pixels.