Abstract: This disclosure relates to a vehicle camera system. In some examples, the vehicle camera system includes one or more camera components, heat generating electronic components, and a shroud. The shroud is configured to provide structural support for the one or more camera components and configured to facilitate dissipation of heat generated by the heat generating electronic components. In some examples, the shroud includes boundaries at least partially surrounding the heat generating electronic components and defining a heat dissipation path for air flow from at least one air inlet to an air outlet of the shroud, and mounting features for mounting the one or more camera components, in which at least one of the mounting features is defined within a portion of the boundaries defining the heat dissipation path.

Abstract: To support sparse scanout of an image sensor, an image data protocol such as the MIPI CSI protocol is extended with support for pixel coordinates in long packets. The receiver uses these to compute where in memory these pixels should be stored or where on a display they should be displayed. Truly sparse scanout is supported for any arbitrarily shaped image areas including for example elliptical readout for fisheye lenses. These techniques save MIPI and serializer/deserializer bandwidth in automotive and other applications, allowing for more cameras per vehicle or other host. Such techniques can be implemented in a way that is compatible with prior MIPI standardized approaches.

Abstract: To support sparse scanout of an image sensor, an image data protocol such as the MIPI CSI protocol is extended with support for pixel coordinates in long packets. The receiver uses these to compute where in memory these pixels should be stored or where on a display they should be displayed. Truly sparse scanout is supported for any arbitrarily shaped image areas including for example elliptical readout for fisheye lenses. These techniques save MIPI and serializer/deserializer bandwidth in automotive and other applications, allowing for more cameras per vehicle or other host. Such techniques can be implemented in a way that is compatible with prior MIPI standardized approaches.

Abstract: A system for, and method of, pixel data compression and a smartphone incorporating the system or the method. In one embodiment, the system includes: (1) a differential pulse code modulation encoder operable differentially to compress the two pixel values losslessly to yield two losslessly compressed pixel values and (2) an entropy encoder coupled to the differential pulse code modulation encoder and configured to receive and entropy-encode the losslessly compressed pixel values using a tiered technique to yield entropy-encoded, losslessly compressed pixel values. values using a tiered technique to yield Huffman-encoded, losslessly compressed pixel values.

Abstract: A system for, and method of, pixel data compression and a smartphone incorporating the system or the method. In one embodiment, the system includes: (1) a differential pulse code modulation encoder operable differentially to compress the two pixel values losslessly to yield two losslessly compressed pixel values and (2) an entropy encoder coupled to the differential pulse code modulation encoder and configured to receive and entropy-encode the losslessly compressed pixel values using a tiered technique to yield entropy-encoded, losslessly compressed pixel values. values using a tiered technique to yield Huffman-encoded, losslessly compressed pixel values.

Abstract: An image capturer for reducing the effect of shutter shake of a digital camera in a smartphone, a method of capturing an image employing a digital camera, and a smartphone. In one embodiment, the image capturer includes: (1) a control interface configured to receive a command to photograph a scene and (2) a best shot determiner, coupled to the control interface and configured to select, after a focused image of the scene has been acquired and in response to receiving the command, a captured image of the scene based on sharpness metrics.