Abstract: Digital image processing is described that enables live prevention of recording and/or displaying of unwanted images. A device for processing a time sequence of images is provided. The device is configured to: retrieve an image of the time sequence of images from a memory; perform scene recognition on the retrieved image; and perform an action on the retrieved image, based upon the result of the scene recognition, before the images of the time sequence of images are recorded, displayed, and/or stored. The retrieval of the image, the performance of the scene recognition, and the performance of the action can be performed in real-time. The action can include at least one of adapting at least a part of retrieved image, modifying the retrieved image, preventing storage of the retrieved image, preventing a display of the retrieved image, erasing the retrieved image, or encrypting the retrieved image.

Abstract: An image recovery method is disclosed for eliminating an effect of an environmental medium. The image recovery method includes receiving a captured image affected by the environmental medium, defining a respective local window with each pixel located at a center of the respective local window, and under an assumption that original radiance of all pixels within the respective local window in the captured image are identical, performing a minimization calculation for each local window, to obtain a corresponding transmission of each pixel in the captured image.

Abstract: Embodiments described herein generally relate to methods and apparatuses for ensuring the integrity of probe card assemblies and verifying that probe cards are ready for testing. In one embodiment, an apparatus includes a stage that allows stable and precise movement of a sensor. The stage includes a first support, a second support, and a sensor carrier. A plurality of lifting devices is coupled to the second support and the sensor carrier, providing a more stable and precise movement for the sensor carrier. Methods for identifying objects other than the probes disposed on a surface of a probe card and to determine whether the probe card is ready for use are disclosed.

Abstract: An image management apparatus includes: a display; a storage unit that stores first operation information, input by a first user, performed on a series of images that are acquired in examination and on the display, such that the first operation information and identification information of the image on which the operation is performed are associated with one another, and stores second operation information, input by a second user, performed on the series of images that are acquired in the examination and on the display, such that the second operation information and identification information of the image on which the operation is performed are associated with one another; and an extraction unit that extracts an image group from the series of images based on whether the identification information of the image associated with the first operation information overlaps with the identification information of the image associated with the second operation information.

Abstract: Systems, apparatus and methods for determining a gesture are presented. According to some aspects, disclosed are systems, apparatus and methods for determining a gesture that compares different images and deduces a direction and/or distance based on a relative size change of a palm in the different images. After a reference palm size is registered, subsequent palm sizes are compared to the reference to determine if and/or how much the hand is moving. The hand gesture is determined based on these relative changes in hand movement.

Abstract: An information processing device includes an imaging unit, a storage unit that stores face images of at least two persons, including an owner of the information processing device, in association with a communication device owned by each of the at least two persons, an identification unit that identifies, based on a first group of face images and a second group of face images, a person associated with a face image detected from an image including face images of a plurality of persons imaged by the imaging unit, the first group of face images includes the face image of each person detected from the image imaged by the imaging unit, and the second group of face images includes the faces stored in the storage unit, and a decision unit that decides a person as a receiver from the identified persons excluding the owner.

Abstract: Comparing extracted card data from a continuous scan comprises receiving, by one or more computing devices, a digital scan of a card; obtaining a plurality of images of the card from the digital scan of the physical card; performing an optical character recognition algorithm on each of the plurality of images; comparing results of the application of the optical character recognition algorithm for each of the plurality of images; determining if a configured threshold of the results for each of the plurality of images match each other; and verifying the results when the results for each of the plurality of images match each other. Threshold confidence level for the extracted card data can be employed to determine the accuracy of the extraction. Data is further extracted from blended images and three-dimensional models of the card. Embossed text and holograms in the images may be used to prevent fraud.

Abstract: A method for transmitting data on a current vehicle environment to a headlight control unit of a vehicle. In this context, the data were taken using a camera, a plausibility check being able to take place via an additional sensor system. The method includes a step of reading in object data concerning at least two objects; the object data representing information on objects, which have been classified in an image taken by the camera as an object. Furthermore, the method includes a step for forming object group data from the read-in object data of the at least two objects, the forming taking place while using at least two different parameters, which were provided from image data of the image taken by the camera. Finally, the method includes a step of transmitting the object group data as data on a current vehicle environment to the headlight control unit.

Abstract: A facility, comprising systems and methods, for providing enhanced situational awareness to captured image data is disclosed. The disclosed techniques are used in conjunction with image data, such as a real-time or near real-time image stream captured by a camera attached to an unmanned system, previously captured image data, rendered image data, etc. The facility enhances situational awareness by projecting overlays onto captured video data or “wrapping” captured image data with previously-captured and/or “synthetic world” information, such as satellite images, computer-generated images, wire models, textured surfaces, and so on. The facility also provides enhanced zoom techniques that allow a user to quickly zoom in on an object or area of interest using a combined optical and digital zoom technique. Additionally, the facility provides a digital lead indicator designed to reduce operator-induced oscillations in commanding an image capturing device.

Abstract: The present invention relates to a system and method for reducing image artifacts for a CMOS camera used as an optical detector for a line confocal fluorescent imager. The method for reducing image artifacts in a monochromatic image comprises subtracting RGB channel offset mismatch; and correcting random row offset for each row. Preferably, the method also comprises correcting random column offset and gain. Optionally, the method also comprises clipping of defective pixels, and/or subtracting dark current. When the monochromatic image is a fluorescence image, the method also comprises a step of compressing CMOS camera noise. Also provided are a system for reducing image artifacts in a monochromatic image from a CMOS camera, as well as an image artifact reduction system for a CMOS camera-based line confocal fluorescent microscope.

Abstract: A medical diagnostic apparatus includes a data obtainer, which obtains an image frame included in a region to be imaged; and a data processor, which processes the obtained frame and obtains a medical image. The data obtainer includes a composite image generator, which generates a composite image by using the image frame; and a medical image obtainer, which compensates the composite image by using the image frame and boundary conditions corresponding to image signals included in the composite image and obtains the medical image by using the compensated composite image.

Abstract: A video analytic system includes a depth stream sensor, spatial analysis module, temporal analysis module, and analytics module. The spatial analysis module iteratively identifies objects of interest based on local maximum or minimum depth stream values within each frame, removes identified objects of interest, and repeats until all objects of interest have been identified. The temporal analysis module associates each object of interest in the current frame with an object of interest identified in a previous frame, wherein the temporal analysis module utilizes the association between current frame objects of interest and previous frame objects of interest to generate temporal features related to each object of interest. The analytics module detects events based on the received temporal features.

Abstract: A dependency indication is signaled within the beginning of a packet, that is, within the adjacent of a slice header to be parsed or a parameter set. This is achieved, for example, by including the dependency indication at the beginning of the slice header, preferably after a syntax element identifying the parameter set and before the slice address, by including the dependency indication before the slice address, by providing the dependency indication to a NALU header using a separate message, or by using a special NALU type for NALUs carrying dependent slices.

Abstract: The present disclosure relates to an image filtering method for detecting an orientation component of an edge and an image recognizing method using the same. The image filtering method includes receiving an original image, generating a plurality of first images by filtering the original image with filters respectively generated along a plurality of channels, generating a second image by selecting a channel having a maximum value for each image unit, from the generated first images, and generating an output image whose edge is detected so as to maintain the consistency of channel by filtering the second image with filters respectively generated along the plurality of channels to generate a plurality of third images and comparing the channel of the second image with the channels of the third images.

Abstract: In an example embodiment a method, apparatus and computer program product are provided. The method includes facilitating receipt of two or more images of a scene, where the two or more images are associated with different capture parameters. The method includes determining intensity gains at corresponding pixel locations of at least one image pair of the two or more images. The method further includes generating a blended image by blending pixels of images of the at least one image pair based at least on the intensity gains. A pixel associated with a pixel location of the blended image is generated by blending pixels associated with the pixel location of the images of the at least one image pair.

Abstract: A gesture recognition device configured to detect a gesture from acquired image and generate command issued to a control target instrument according to the gesture, the gesture recognition device comprising: an image acquisition unit configured to acquire an image; a gesture acquisition unit configured to detect a target region performing a gesture from the acquired image, and acquire the gesture based on motion or a shape of the detected target region; a face detection unit configured to detect a face comprised in the acquired image; a correlation unit configured to correlate the detected target region with the detected face using a human body model representing a shape of a human body; a personal identification unit configured to identify a user corresponding to the detected face; and a command generation unit configured to generate a command issued to the control target instrument based on the identified user and the acquired gesture.

Abstract: Systems, processes, and computer program products for creating visual designs and arrangements that originate from an image or images are provided. In particular, the present subject matter relates to systems, processes, and computer program products for taking captured images of an intended operating environment and creating visual designs that create visual confusion that can be utilized to disguise a recognizable form of a person or an object by breaking up its outline using portions, magnifications and distortions of a single captured image, portions, magnifications and distortions of multiple captured images, and/or disruptive patterns that can projected on an image screen or can be printed on a material.

Abstract: Systems and methods are provided for selectively performing image statistics processing based at least partly on whether a pixel has been clipped. In one example, an image signal processor may include statistics collection logic. The statistics collection logic may include statistics image processing logic and a statistics core. The statistics image processing logic may perform initial image processing on image pixels, at least occasionally causing some of the image pixels to become clipped. The statistics core may obtain image statistics from the image pixels. The statistics core may obtain at least one of the image statistics using only pixels that have not been clipped and excluding pixels that have been clipped.

Abstract: The present disclosure proposes an image-based method for measuring elasticity of biological tissues including following steps: obtaining N successive grayscale images of a testing biological tissue, where N is a positive integer; obtaining regions of interest (ROI) of the grayscale images; dividing the regions of interest into a grid of small sections; calculating relative displacement vector of each interrogation window using texture matching method; and calculating elastic modulus of each interrogation window according to the relative displacement vectors. The present disclosure also proposes an image-based system for measuring elasticity of biological tissues. The present disclosure applies to various resolutions of grayscale images obtaining in ultrasound imaging, optical imaging, photoacoustic imaging, CT imaging, magnetic resonance imaging ect. The system can be integrated into a traditional clinical imaging system as an image post-processing software module to characterize tissue elasticity.

Abstract: A movement distance estimating device includes: a memory; and a processor coupled to the memory and configured to: determine, based on a first image and a second image included in images captured by an image capture device mounted on a moving body, an amount of relative movement of the moving body between a first time point at which the first image is captured and a second time point at which the second image is captured, determine a scale for the amount of relative movement, based on a relation in a three-dimensional space between a road surface and a spatial point corresponding to a feature point in an area other than a road-surface area in at least one image of the captured images, and determine a movement distance of the moving body between the first and second time points, based on the amount of relative movement and the scale.