Abstract:
Methods, systems, and devices for display notch mitigation for cameras and projectors are described. A device may support receiving a plurality of light rays via an upper surface of a prism. The prism and a camera assembly of the device are positioned behind a display substrate of the device. The device may support reflecting the plurality of light rays across a reflection surface. The reflection surface may form an angle with the upper surface of the prism. The device may receiver the plurality of light rays via the camera assembly positioned behind the display substrate based on reflecting the plurality of light rays across the reflection surface. The device may additionally support emitting a plurality of light rays via a projector assembly, reflecting the plurality of light rays across the reflection surface, and emitting the plurality of light rays via the upper surface of the prism.
Abstract:
Aspects relate to digital imaging. An example method includes receiving a first image frame of a scene captured by a first image sensor. The method also includes receiving a second image frame of the scene captured by a second image sensor. The second image frame is captured concurrently with capture of the first image frame. The method also includes receiving a third image frame of the scene captured by a third image sensor. The third image frame is captured concurrently with capture of the first image frame. The method also includes generating a combined image from the first image frame, the second image frame, and the third image frame. The combined image includes a first field of view that is wider than a field of view of the first image frame.
Abstract:
Aspects of the present disclosure relate to systems and methods for determining a resampler for resampling or converting non-Bayer patter color filter array image data to Bayer pattern image data. An example device may include a camera having an image sensor with a non-Bayer pattern color filter array configured to capture non-Bayer pattern image data for an image. The example device also may include a memory and a processor coupled to the memory. The processor may be configured to receive the non-Bayer pattern image data from the image sensor, divide the non-Bayer pattern image data into portions, determine a sampling filter corresponding to the portions, and determine, based on the determined sampling filter, a resampler for converting non-Bayer pattern image data to Bayer-pattern image data.
Abstract:
Various embodiments are directed to a light pipe. The light pipe may include a channel within a substrate of an image sensor. The channel may be formed by a plurality of layers. The plurality of layers may include a first layer and a second layer. The second layer may be spaced apart from the first layer along an axis of the channel.
Abstract:
Devices and methods for providing seamless preview images for multi-camera devices having two or more asymmetric cameras. A multi-camera device may include two asymmetric cameras disposed to image a target scene. The multi-camera device further includes a processor coupled to a memory component and a display, the processor configured to retrieve an image generated by a first camera from the memory component, retrieve an image generated by a second camera from the memory component, receive input corresponding to a preview zoom level, retrieve spatial transform information and photometric transform information from memory, modify at least one image received from the first and second cameras by the spatial transform and the photometric transform, and provide on the display a preview image comprising at least a portion of the at least one modified image and a portion of either the first image or the second image based on the preview zoom level.
Abstract:
System and methods for performing motion sensitive high dynamic range (HDR) image processing. A saturation analysis circuit is configured to receive a set of image data corresponding to portions of a set of image frames having different exposures time from a lowest exposure time to a highest exposure time, and select image data from a frame that does not exceed the saturation threshold value. A motion detection circuit may be configured to determine whether the image data is associated with movement, by comparing image data from pairs of frames of adjacent exposure times, and changing the selection to a lower exposure time frame if movement is detected. By selecting which exposure time is used based upon movement in the image frame, ghosting and blurring in HDR images containing movement can be reduced.
Abstract:
Exemplary embodiments are directed to configurable demodulation of image data produced by an image sensor. In some aspects, a method includes receiving information indicating a configuration of the image sensor. In some aspects, the information may indicate a configuration of sensor elements and/or corresponding color filters for the sensor elements. A modulation function may then be generated based on the information. In some aspects, the method also includes demodulating the image data based on the generated modulation function to determine chrominance and luminance components of the image data, and generating the second image based on the determined chrominance and luminance components.
Abstract:
Certain aspects relate to imaging systems and methods for manufacturing imaging systems and image sensors. The imaging system includes a pixel array including a plurality of pixels, the pixels configured to generate a charge when exposed to light and disposed on a first layer. The imaging system further includes a plurality of pixel circuits for reading light integrated in the pixels coupled thereto, each of the plurality of pixel circuits comprising one or more transistors shared between a subset of the plurality of the pixels, the one or more transistors disposed on a second layer different than the first layer. The imaging system further includes a plurality of floating diffusion nodes configured to couple each of the plurality of pixels to the plurality of pixel circuits.
Abstract:
Aspects relate to methods of generating a high-resolution image containing object depth information. A method may include capturing a first image of an object using a first camera, the first image including light projected in a known pattern on the object, extracting depth information at a first resolution from the first image, the depth information extracted based on a pattern of the projected light in the first image and capturing a second image of the scene using a second camera, the second image captured at a second resolution which is higher than the first resolution. The method also includes aligning geometries of the first and second image based on a known difference in location of the first camera and the second camera and using the second image to up-sample the depth information from the first resolution to a third resolution, the third resolution is higher than the first resolution.
Abstract:
A method for generating codes for a code mask is provided. A plurality of symbols may be arranged into an n1 by n2 symbol structure, where n1 and n2 are integer values. A plurality of codewords may be defined from different overlapping k1 by k2 windows within the symbol structure, wherein co-linear and spatially overlapping windows define unique codewords, and the codewords are unique in a first direction of the symbol structure but are repeated in a second direction that is perpendicular to the first direction. A plurality of the symbol structures as a code mask, wherein symbols in two adjacent k1 by k2 windows are selected so as to avoid codeword aliasing of codewords in the two adjacent k1 by k2 windows.