Abstract:
System and method of displaying images in spatial/temporal superresolution by multiplicative superposition of cascaded display layers integrated in a display device. Using an original image with a target spatial/temporal resolution as a priori, a factorization process is performed to derive respective image data for presentation on each display layer. The cascaded display layers may be progressive and laterally shifted with each other, resulting in an effective spatial resolution exceeding the native display resolutions of the display layers. Factorized images may be refreshed on respective display layers in synchronization or out of synchronization.
Abstract:
A computer implemented method of determining a latent image from an observed image is disclosed. The method comprises implementing a plurality of image processing operations within a single optimization framework, wherein the single optimization framework comprises solving a linear minimization expression. The method further comprises mapping the linear minimization expression onto at least one non-linear solver. Further, the method comprises using the non-linear solver, iteratively solving the linear minimization expression in order to extract the latent image from the observed image, wherein the linear minimization expression comprises: a data term, and a regularization term, and wherein the regularization term comprises a plurality of non-linear image priors.
Abstract:
An approach is provided for performing back-end operations for camera control. In one example, a method includes the following: receiving a user edit via a user interface device that displays an interpretation of a scene at which a camera lens of the camera is pointing, wherein the user edit is based on user input that is associated with a selection region on the user interface device; generating an edits mask based on one or more matching image patches, which are based on the user edit and a high dynamic range (HDR) image generated by the camera; performing one or more tone mapping operations based on the edits mask and the HDR image in order to generate a tone mapped HDR image; and performing one or more metering operations based on the edits mask and the tone mapped HDR image in order to generate metering parameters for frame capturing operations.
Abstract:
An apparatus and method for radar based gesture detection. The apparatus includes a processing element and a transmitter configured to transmit radar signals. The transmitter is coupled to the processing element. The apparatus further includes a plurality of receivers configured to receive radar signal reflections, where the plurality of receivers is coupled to the processing element. The transmitter and plurality of receivers are configured for short range radar and the processing element is configured to detect a hand gesture based on the radar signal reflections received by the plurality of receivers.
Abstract:
An apparatus and method for gesture detection and recognition. The apparatus includes a processing element, a radar sensor, a depth sensor, and an optical sensor. The radar sensor, the depth sensor, and the optical sensor are coupled to the processing element, and the radar sensor, the depth sensor, and the optical sensor are configured for short range gesture detection and recognition. The processing element is further configured to detect and recognize a hand gesture based on data acquired with the radar sensor, the depth sensor, and the optical sensor.
Abstract:
A computer implemented method of determining a latent image from an observed image is disclosed. The method comprises implementing a plurality of image processing operations within a single optimization framework, wherein the single optimization framework comprises solving a linear minimization expression. The method further comprises mapping the linear minimization expression onto at least one non-linear solver. Further, the method comprises using the non-linear solver, iteratively solving the linear minimization expression in order to extract the latent image from the observed image, wherein the linear minimization expression comprises: a data term, and a regularization term, and wherein the regularization term comprises a plurality of non-linear image priors.
Abstract:
A set of images is processed to modify and register the images to a reference image in preparation for blending the images to create a high-dynamic range image. To modify and register a source image to a reference image, a processing unit generates a correspondence map for the source image based on a non-rigid dense correspondence algorithm, generates a warped source image based on the correspondence map, estimates one or more color transfer functions for the source image, and fills the holes in the warped source image. The holes in the warped source image are filled based on either a rigid transformation of a corresponding region of the source image or a transformation of the reference image based on the color transfer functions.