Abstract: In some aspects, one or more processors may perform an analysis of a processed image using an artificial intelligence module. Based on the analysis, the one or more processors may determine that the processed image includes one or more threats and determine details associated with individual threats of the one or more threats. The one or more processors may determine, based on the details associated with the one or more threats, that a particular threat threshold of a plurality of threat thresholds has been satisfied. The one or more processors may add one or more annotations to the image to create an annotated image that includes the one or more threats and at least a portion of the details associated with individual threats of the one or more threats. The one or more processors may send a notification to one or more designated recipients.

Abstract: An image processing device includes: a memory; and a processor comprising hardware, wherein the processor is configured to: receive agent observation image information including information of a plurality of pixels obtained by capturing an image based on fluorescence from a subject administered with an agent that emits fluorescence upon being irradiated with excitation light in a predetermined wavelength band; amplify pixel values of the plurality of pixels by executing first gain processing on the agent observation image information; and reduce pixel values of pixels lower than a predetermined threshold by executing reduction processing on the agent observation image information after the first gain processing.

Abstract: A method may include acquiring MR signals by an MR scanner and generating image data in a k-space according to the MR signals. The method may also include classifying the image data into a plurality of phases. Each of the plurality of phases may have a first count of spokes. A spoke may be defined by a trajectory for filling the k-space. The method may also include classifying the plurality of phases of the image data into a plurality of groups and determining reference images based on the plurality of groups. Each of the reference images may correspond to the at least one of the phases of the image data. The method may further include reconstructing an image sequence based on the reference images and the plurality of phases of the image data.

Abstract: An image processing apparatus obtains a first output image by applying an image to a first training network model, obtains a second output image by applying the image to a second training network model, and obtains a reconstructed image based on the first output image and the second output image. The first training network model is a model that uses a fixed parameter obtained through training of a plurality of sample images, the second training network model is trained to minimize a difference between a target image corresponding to the image and the reconstructed image.

Abstract: An image processing device is configured to: generate a histogram of pixel values of a plurality of pixels contained in an image; set a background pixel value by using a peak value of the generated histogram; set a noise range with respect to the set background pixel value; and replace the pixel values that fall in the set noise range with a single arbitrary pixel value.

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: Disclosed is a method and apparatus for capturing, collecting, and distributing event information displayed on signs. The method may include capturing, by a mobile device, an image of a sign that displays information for an event. The method may also include extracting information for the event from the captured image of the sign, and determining a location of the mobile device when the image of the sign was captured. Furthermore, the method may include uploading, to a server, a time when the image was captured, the information for the event extracted from the captured image, a location of the event determined from extracted event information, a location of the sign, or a combination thereof.

Abstract: There is provided with an image processing apparatus. A focused patch setting unit sets a focused patch in an input image. The focused patch has a first number of pixels. A detecting unit detects a plurality of similar patches that are similar to the focused patch in the input image. A target patch setting unit sets, based on the plurality of similar patches, a plurality of target patches including at least one pixel included in the similar patch and having a second number of pixels that is different from the first number of pixels. A noise reduction processing unit performs, based on the plurality of target patches, a noise reduction process on the target patches. A merging unit merges the target patches whose noise has been reduced by the noise reduction processing unit to generate an output image.

Abstract: A method of wavefront sensing with engineered images is provided with at least one wave receiving system. At least one desired parameter range is designated for the wave receiving system. At least one preliminary engineered image is then simulated to correspond with the desired parameter range. At least one inverse-model is then generated that outputs the desired parameter range by inputting the preliminary engineered image. A training process is then executed for the inverse-model to readily and accurately output the desired parameter range by inputting the preliminary engineered image. At least one measurement engineered image is then received in order to output at least one estimated parameter value for the wave receiving system with the inverse-model by inputting the measurement engineered image into the inverse-model.

Abstract: A method of generating a composite image from multiple images captured for a subject is disclosed. In some embodiments, the method may include receiving, via an image capturing device, a plurality of sets of images of at least a portion of a subject. The images within a set of images may be captured at a plurality of vertical positions with respect to an associated fixed section of a horizontal plane. The method may further include generating a plurality of focus-stacked images corresponding to the plurality of sets of images, for example, by combining the images in the associated set of images. The method may further include aligning the plurality of focus-stacked images in the horizontal plane based on a horizontal coordinate transformation model to generate a composite image representing the subject.

Abstract: Systems and techniques are provided for determining an improved camera coverage plan including a number, a placement, and a pose of cameras that are arranged to track puts and takes of items by subjects in a three-dimensional real space. The method includes receiving an initial camera coverage plan including a three-dimensional map of a real space, an initial number and initial pose of a plurality of cameras and a camera model including characteristics of the cameras. The method can iteratively apply a machine learning process to an objective function of number and poses of cameras, and subject to a set of constraints, obtain an improved camera coverage plan. The improved camera coverage plan is provided to an installer to arrange cameras to track puts and takes of items by subjects in the three-dimensional real space.

Abstract: The invention provides an image color enhancement system, method, storage medium and endoscope. Based on that the human skin color and the basic tone of endoscopic image are similar, utilizing a standard data set of Macbeth color card, a color correction matrix for skin color enhancement is generated, which is used by an endoscope for real time image capture, resulting in a vivid expression of the basic tone of an endoscopic image without introducing artifacts in other tonal image parts.

Abstract: Various methods and systems are provided for x-ray imaging. In one embodiment, a method comprises acquiring an image of a subject, generating, based on the image and a plurality of parameters, a noise modulation map comprising an estimated amount of noise in each pixel of the image, selectively reducing noise in the image based on the noise modulation map to generate a final image, and displaying the final image. In this way, the radiation dose during imaging may be reduced while maintaining or even improving image quality.

Abstract: The present disclosure provides an operating method of a system for analyzing brain tissue based on computerized tomographic imaging, and the operation method includes steps as follows. A computed tomography image of a subject is aligned to a predetermined standard brain space image, to obtain a first normalized test computed tomography image. A voxel contrast of the first normalized test computed tomography image is enhanced to obtain an enhanced first normalized test computed tomography image. The enhanced first normalized test computed tomography image is aligned to an average computed tomographic image of a control group to obtain a second normalized test computed tomography image. An analysis based on the second normalized test computed tomography image and a plurality of computerized tomographic images of the control group is performed to obtain a t-score map.

Abstract: A method includes capturing a plurality of first images using a first image sensor and a plurality of second images using a second image sensor. The method also includes generating a short single view, short depth map, long single view, and long depth map from the first and second images. The method further includes generating a multi-frame depth map using the short single view, short depth map, long single view, and long depth map. The method also includes generating a gain map using the multi-frame depth map and lighting conditions, where the lighting conditions introduce a relighting effect into the gain map. The method further includes generating a relit short single view and a relit long single view by applying the gain map to the short and long single views. In addition, the method includes generating a relit image by fusing the relit short and long single views.

Abstract: Provided is a system and method for authentication of collectable objects. A hi-resolution digital camera in communication with a nonvolatile data storage device having a data partition capable of being made immutable is provided. The nonvolatile data storage device is compatible with a computerized device, and the hi-resolution digital camera is operated to record at least one hi-resolution digital image of at least one unique appearance characteristic of a collectable object at an image resolution of at least 300 pixel dots per inch at 1:1 image scale. The at least one hi-resolution digital image is stored in the data partition of the nonvolatile data storage device, together with additional image data. A tamper-resistant marking associated with the collectable object is placed on the nonvolatile data storage device.

Abstract: Embodiments of present disclosure discloses system and method for reconstruction of FOV. Initially, presence of one of single object and distinct objects in FOV of image of sample comprising one or more objects is determined based on sharpness of one or more objects. A single optimal representation of FOV may be generated when presence of single object is determined. At least one of single optimal representation and a depth-based enhanced representation of FOV may be generated when presence of distinct objects is determined. For generating depth-based enhanced representation, one or more first optimal images associated with each of distinct objects in FOV may be retrieved. An optimal representation of each of distinct objects is generated based on corresponding one or more first optimal images. Further, optimal representation of each of distinct objects is placed at corresponding optimal depth associated with respective distinct object to generate depth-based enhanced representation.

Abstract: Provided is an image enhancement method, performed by a data processing device, the method including: performing a first edge-preserving filtering on an original image to obtain a first processed image; obtaining a detail feature of the original image based on the original image and the first processed image; determining a second processed image according to the detail feature and the first processed image; and processing the second processed image in a guided image filtering manner by using the original image as a first guidance image, to obtain a third processed image, and outputting the third processed image to be displayed.

Abstract: The present invention provides a novel algorithm for salience detection based on a dual rail antagonistic structure to predict where people look in images in a free-viewing condition. Furthermore, the proposed algorithm can be effectively applied to both still and moving images in visual media without any parameter tuning in real-time.

Abstract: According to one embodiment, a magnetic resonance imaging apparatus includes processing circuitry. The processing circuitry is configured to apply a filter to each of a first real-part image and a first imaginary-part image of a first complex image generated based on acquired magnetic resonance data and thereby generate a second complex image that includes a second real-part image and a second imaginary-part image. The processing circuitry is configured to generate a phase image denoised by the filter, the denoised phase image generated based on the second real-part image and the second imaginary-part image. The processing circuitry is configured to generate an intensity image related to an absolute value of the first complex image based on pixel values of the denoised phase image, the first real-part image, and the first imaginary-part image.