Abstract: An imaging system comprises an image sensor and black level correction (BLC) circuitry. The image sensor includes an image pixel array adapted to generate an image signal in response to incident light and a dark pixel array adapted to generate a black reference signal representative of a black level value of the image sensor. The BLC circuitry is adapted to adjust the image signal of the image pixel array based, at least in part, on the black reference signal of the dark pixel array. The BLC circuitry includes a plurality of measurement circuits to readout the black reference signal from the dark pixel array to determine the black level value of the image sensor. The BLC circuitry also includes a plurality of calculation circuits to calculate a BLC value based, at least in part, on the black level value determined from the plurality of measurement circuits.

Abstract: An imaging system comprises an image pixel array, a dark pixel array, and a controller. The image pixel array includes a plurality of pixel clusters adapted to generate image signals. The dark pixel array is adapted to generate one or more black reference signals corresponding to a global black level value of the imaging system. The controller includes logic that when executed by the controller causes the system to perform operations including determining local black level values for each of the pixel clusters and correcting a first image signal included in the image signals based, at least in part, on the global black level and a first local black level value included in the local black level values.

Abstract: An imaging system comprises an image pixel array, a dark pixel array, and a controller. The image pixel array includes a plurality of pixel clusters adapted to generate image signals. The dark pixel array is adapted to generate one or more black reference signals corresponding to a global black level value of the imaging system. The controller includes logic that when executed by the controller causes the system to perform operations including determining local black level values for each of the pixel clusters and correcting a first image signal included in the image signals based, at least in part, on the global black level and a first local black level value included in the local black level values.

Abstract: A method for coordinated adjustment of a first image captured by a first camera and a second image captured by a second camera includes determining a first set of image processing parameters from the first image and a second set of image processing parameters from the second image, transmitting the first set of image processing parameters to a master, the master not being the first camera; combining at least the first and second sets of processing parameters into a combined or composite set of parameters; transmitting the composite parameters from the master to the first camera; and using a processor of the first camera to apply the composite parameters to the first image, and a processor of the second camera to apply composite parameters to the second image. An apparatus has at least two cameras configured to implement the method.

Abstract: A method for coordinated adjustment of a first image captured by a first camera and a second image captured by a second camera includes determining a first set of image processing parameters from the first image and a second set of image processing parameters from the second image, transmitting the first set of image processing parameters to a master, the master not being the first camera; combining at least the first and second sets of processing parameters into a combined or composite set of parameters; transmitting the composite parameters from the master to the first camera; and using a processor of the first camera to apply the composite parameters to the first image, and a processor of the second camera to apply composite parameters to the second image. An apparatus has at least two cameras configured to implement the method.

Abstract: Systems and methods for multi-exposure imaging are provided. Multiple images may be captured having different exposure times. The multiple images may be processed to produce an output image. Multi-exposure images may be summed prior to linearization. Pixel values in multi-exposure images may be summed to nonlinear pixel values. The nonlinear pixel values may be linearized using one or more knee points. Multi-exposure imaging may be used to motion-intensive application such as automotive applications.

Abstract: Systems and methods for multi-exposure imaging are provided. Multiple images may be captured having different exposure times. The multiple images may be processed to produce an output image. Multi-exposure images may be summed prior to linearization. Pixel values in multi-exposure images may be summed to nonlinear pixel values. The nonlinear pixel values may be linearized using one or more knee points. Multi-exposure imaging may be used to motion-intensive application such as automotive applications.