Abstract: Aspects of the present invention are related to systems and methods for determining local-analysis-window size and weighting parameters in a gradient-based motion estimation system.

Abstract: Aspects of the present invention are related to methods and systems for vision-based computation of ego-motion.

Abstract: Aspects of the present invention are related to methods and systems for autonomous navigation using visual landmark recognition.

Abstract: System and apparatus embodiments are provided for high capacity wireless communication. In an embodiment, a system for high capacity wireless communication includes a plurality of small radio unit modules (SRUMs) and a single central module (CM) configured to connect to the SRUMS over a high speed transport layer (TL), wherein the SRUMs each comprise a SRUM radio frequency (RF) element and an antenna, wherein the CM comprises a digital signal processor (DSP), an analog-to-digital (A/D) converter, a plurality of digital-to-analog (D/A) converters, and a plurality of CM RF elements, wherein each of the plurality of SRUMs is uniquely associated with a CM RF element, and a D/A converter thereby forming a radio unit (RU) that is configured to operate independently of other RUs.

Abstract: A system for image enhancement includes a computer receiving an input image, and modifies the entire range of frequencies of the image, wherein the modifying is greater for the lower frequency aspects of the input image relative to the higher frequency aspects of the input image based upon a brightening process that is based upon a brightening selection, where the brightening selection is based upon a backlight level of a display to display the input image. The computer modifies the higher frequency aspects of the input image based upon an enhancement process that is based upon the brightening selection which is based upon the backlight level of the display. The computer combines the modifies image based upon the brightening process and the modified image based upon the enhancement process.

Abstract: Aspects of the present invention are related to methods and systems for autonomous navigation using visual landmark recognition.

Abstract: Embodiments of the present invention provide a method and an apparatus for demodulating a physical random access channel signal. The method includes: acquiring a down-sampling sequence of a PRACH demodulation signal, and acquiring a power sequence of the down-sampling sequence; determining a position of a sounding reference signal sampling point in the down-sampling sequence according to the power sequence; and eliminating the sounding reference signal sampling point in the down-sampling sequence according to the position of the sounding reference signal sampling point, so as to perform PRACH coherent detection on a down-sampling sequence obtained after the sounding reference signal sampling point is eliminated. In the method and the apparatus for demodulating a physical random access channel signal in the embodiments of the present invention, interference from a sounding reference signal can be restrained and false alarms in PRACH detection can be reduced.

Abstract: A system for identifying a repair cut location for a defect in a liquid crystal device includes receiving an input image, a defect mask image, and a landmark structure image. The system determines a repair cut location, based upon the input image, the defect mask image, and the landmark structure image, for a liquid crystal device proximate the defect. The determination may be based upon a type of said defect, a cause of said defect, a position of said defect, and a spatial relationship of the defect and a structure of the landmark image.

Abstract: A method for classification of samples comprising providing a trained statistical model based upon a set of initial samples. Receiving a set of first samples and training a first statistical model base upon the first set of samples, where the first statistical model is of the same class as the trained statistical model. Receiving a set of second samples and training a second statistical model base upon the second set of samples, where the second statistical model is of the same class as the trained statistical model. The trained statistical model, the first statistical model, and the second statistical model, being independent of each other and collectively used to classify another sample.

Abstract: Aspects of the present invention are related to systems, methods and apparatus for image-based automatic detection of a defective area in a flat panel display and classification of the defect type and the cause of the detected defect.

Abstract: A system for the identification of feature points in low contrast images.

Abstract: A method for image processing includes determining edge pixels of a model image and determining features for the edge pixels of the model image. The image processing includes determining edge pixels of an input image and determining features for the edge pixels of the input image. The system matches the features of the model image with the features of the input image to determine candidate locations of an object within the input image.

Abstract: A computer-implemented method for enhancing an input image that includes modifying the relatively lower frequency aspects of the input image based upon a brightening process, where the brightening process is based upon a brightening selection which is based upon a combination of an under brightening term and a clipping term and a joint saturation boost and brightening. The method modifies the relatively higher frequency aspects of the input image based upon reducing lower amplitude noise and enhancing the noise reduced higher frequency aspects of the input image, and combines the modified relatively lower frequency aspects of the input image and the modified relatively higher frequency aspects of the input image.

Abstract: A technique for image processing that includes receiving a model image, an input image, and registering the input image with the model image. A modified input image is determined that includes a first component that is substantially free of error components with respect to the model image and a second component that is substantially free of non-error aspects with respect to the model image. The technique determines an improved alignment of the modified input image with the model image where the improved alignment and the first and second components are determined jointly.

Abstract: A system for detecting newton ring mura on a display includes sensing an image of the display with an image capture device and determining a border boundary of an illuminated portion of the display. The image is spatially filtered as defined by the border boundary using a filter that reduces sensor noise and a grid pattern of the display. The spatially filtered image is processed to determine if a region proximate a pixel location is a potential newton ring mura defect and characterizing the potential newton ring mura defects to remove at least one of the potential newton ring mura defects.

Abstract: A system for image processing includes determining edge pixels of a model image using an edge based technique and determining an angular orientation for each the edge pixels of the model image. The system determines a histogram of gradient orientations based upon the angular orientations of the model image. The system determining edge pixels of an input image using an edge based technique and determining an angular orientation for each of the edge pixels of the input image. The system determines a histogram of gradient orientations based upon the angular orientations of the input image. The system compares the histogram of gradient orientations of the model image with the histogram of gradient orientations of the input image to determine candidate locations of an object within the input image.

Abstract: A system for improving content visibility on a display under low-contrast viewing conditions using an image process technique.

Abstract: An electronic device configured for defect detection is described. The electronic device includes a processor and instructions stored in memory that is in electronic communication with the processor. The electronic device performs background suppression on the image data based on a transform of the image data to obtain a score map. The electronic device also applies thresholding to the score map to generate a detection mask. The thresholding comprises bi-thresholding. The electronic device additionally detects any defects based on the detection mask. The electronic device further indicates any defects.

Abstract: A system for image processing includes determining edge pixels of a model image using an edge based technique and determining an angular orientation for each the edge pixels of the model image. The system determines a histogram of gradient orientations based upon the angular orientations of the model image. The system determining edge pixels of an input image using an edge based technique and determining an angular orientation for each of the edge pixels of the input image. The system determines a histogram of gradient orientations based upon the angular orientations of the input image. The system compares the histogram of gradient orientations of the model image with the histogram of gradient orientations of the input image to determine candidate locations of an object within the input image.

Abstract: A method for scaling an image includes providing a set of filters based upon a low-resolution data set and a high-resolution data set suitable for up-scaling a low resolution image to a high resolution image. The filters are collectively representative of at least a portion of an image space and a substantial number of the filters are representative of a different at least one selected from a volume and a shape within the image space. A low-resolution image is received and generates a corresponding high-resolution image based up the filters.