Multi camera image processing

A method, comprising:

• estimating, by a statistics engine, a brightness and/or color temperature of each camera within an image processing system having two or more cameras;
• grouping, by an image signal processor (ISP), the two or more cameras into one or more groups based on a spread of the estimated brightness and/or color temperature among the two or more cameras, wherein the spread is calculated by determining a least measured brightness and/or color temperature of the two or more cameras and a greatest measured brightness and/or color temperature of the two or more cameras;
• and
• selecting, by the ISP, a camera exposure/gain setting for each group, wherein one or more cameras within a given one of the groups has a same camera exposure/gain setting.

A method, comprising:

• estimating, by a statistics engine, a brightness and/or color temperature of each camera within an image processing system with two or more cameras;
• defining, by an image signal processor (ISP), a plurality of ways that the two or more cameras are allowed to be grouped;
• defining, by the ISP, one or more cost functions for the plurality of ways of grouping;
• computing, by the ISP, costs for each of the plurality of ways the cameras are allowed to be grouped based on the one or more cost functions;
• grouping, by the ISP, the cameras into one or more groups to curtail the costs, wherein the costs define an extent to which image harmonization and dynamic range are balanced within a synthesized image;
• selecting, by the ISP, a camera exposure/gain setting for each group, wherein one or more cameras within a given one of the groups has a same camera exposure/gain setting;
• and
• rendering, to a display, the synthesized image that blends images captured by the cameras of the image processing system.