Gopro, Inc.

Arteris, Inc.

Vincent Vacquerie

Bruno César Douady-Pleven

Bruno César Douady

César Douady

Bruno Faure

Philippe Boucard

Alexis Lefebvre

Guillaume Matthieu Guerin

Stéphane Belardi

Image processing using various video and still flows is described. The resolution and bit depth at each stage of the image processing are described. In some examples, image scalers are used to resize image resolution. In some examples, a warp engine is used to distort per frame images to apply image stabilization, zoom, or a user digital lens. An image processing pipeline includes a double data rate (DDR) memory buffer that supports lossy compression with a constant 50% compression. In some examples, the image processing pipeline includes a DDR memory buffer that is uncompressed.

Image capture flows

Systems and methods are disclosed for boot sequences in cold temperatures. For example, methods may include accessing a temperature measurement from a temperature sensor; responsive to the temperature measurement being below a threshold, setting a clock frequency for a clock signal used by an integrated circuit to a first frequency; and executing boot code in the integrated circuit using the clock signal at the first frequency, wherein the first frequency is lower than a second frequency that the integrated circuit is configured to use when executing the boot code at higher temperatures. In some implementations, an idle mode is used to heat up a device to achieve a temperature needed to support a use case for the device.

Boot sequence in cold temperatures

Systems and methods are disclosed for dynamic power allocation for memory using multiple interleaving patterns. For example, a system may include a set of memory devices, including a first subset and a second subset, and a memory management circuitry configured to translate virtual addresses into physical addresses of memory locations in the set of memory devices using a first interleaving pattern when operating in a first mode; and translate virtual addresses using a second interleaving pattern when operating in a second mode. The first and second interleaving patterns both map virtual addresses in a first range exclusively to memory devices in the first subset. The first interleaving pattern maps virtual addresses in a second range to memory devices in the first subset and in the second subset. The second interleaving pattern maps virtual addresses in the second range exclusively to memory devices in the first subset.

Dynamic power allocation for memory using multiple interleaving patterns

Image analysis and processing may include a first sensor readout unit receiving first Bayer format image data corresponding to a first input image, a second sensor readout unit receiving second Bayer format image data corresponding to a second input image, a first Bayer-to-RGB unit obtaining first RGB format image data based on the first Bayer format image data, a second Bayer-to-RGB unit obtaining second RGB format image data based on the second Bayer format image data, a high dynamic range unit configured obtaining high dynamic range image data based on a combination of the first RGB format image data and the second RGB format image data, an RGB-to-YUV unit obtaining YUV format image data based on the high dynamic range image data, and a three-dimensional noise reduction unit obtaining processed image data based on the YUV format image data.

Image processing including noise reduction

An image capture device may include one or more optical elements. One or more lens covers may be used to cover the optical element(s). Usage of the lens cover(s) with respect to the optical element(s) may be determined. The operation of the image capture device may be changed based on whether the lens cover(s) are on or off the optical element(s).

Lens cover-based image capture device operation

Image analysis and processing may include a first sensor readout unit configured to receive first Bayer format image data, a second sensor readout unit configured to receive second Bayer format image data, a first Bayer-to-RGB unit configured to obtain first RGB format image data based on the first Bayer format image data, a second Bayer-to-RGB unit configured to obtain second RGB format image data based on the second Bayer format image data, a high dynamic range unit configured to obtain high dynamic range image data based on a combination of the first RGB format image data and the second RGB format image data, an RGB-to-YUV unit configured to obtain YUV format image data based on the high dynamic range image data, and a three-dimensional noise reduction unit configured to obtain noise reduced image data based on the YUV format image data.

High dynamic range image processing with noise reduction

Systems and methods are disclosed for image capture. For example, methods may include accessing a sequence of images from an image sensor; determining a sequence of parameters for respective images in the sequence of images based on the respective images; storing the sequence of images in a buffer; determining a temporally smoothed parameter for a current image in the sequence of images based on the sequence of parameters, wherein the sequence of parameters includes parameters for images in the sequence of images that were captured after the current image; applying image processing to the current image based on the temporally smoothed parameter to obtain a processed image; and storing, displaying, or transmitting an output image based on the processed image.

Temporal smoothing in image capture systems

Image signal processing may include obtaining a first portion of a first input image, the first portion having a defined width, a defined height, and a defined portion size, which is a product of multiplying the defined width by the defined height, the first portion of the first input image including a first set of image elements in raster order and having a cardinality of the defined portion size. Image signal processing may include sequential in-place blocking transposition of the first input image, which may include using a buffer, omit using another buffer, and has linear complexity, and may include buffering the first set of image elements using the buffer, the buffer having a defined buffer size within twice the defined portion size, and outputting the first set of image elements from the buffer in block order.

Sequential in-place blocking transposition for image signal processing

The system for managing messages transmitted in an interconnect network connecting blocks on a chip comprises agents linked by point-to-point links able to transmit, by static routing, messages comprising a priority information item quantified on N levels. The system comprises at least one agent initiating request messages to at least one recipient agent. A request message comprises a header and, where appropriate, content data. The system comprises means of generating a priority message, to a recipient agent, to which at least on request message has previously been transmitted with no response message received in return.

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Paris, France

Vincent Vacquerie