Abstract: A method includes obtaining multiple input images of a scene based on image data captured using multiple imaging sensors. The method also includes generating a gain map identifying relative gains of the imaging sensors. The gain map is generated using the input images and translational and rotational offsets between one or more pairs of the input images. Generating the gain map may include using, for each pair of the input images, a rotation matrix based on a rotation angle between the pair of the input images. The method may further include using the gain map to process additional image data captured using the imaging sensors.

Abstract: A method includes obtaining multiple spatially-displaced input images of a scene based on image data captured using multiple imaging sensors. The method also includes dividing each of the input images into multiple overlapping sub-images. The method further includes generating multiple overlapping sub-image gain maps based on the sub-images. In addition, the method includes combining the sub-image gain maps to produce a final gain map identifying relative gains of the imaging sensors. An adjacent and overlapping pair of sub-image gain maps are combined by renormalizing gain values in at least one of the pair of sub-image gain maps so that average gain values in overlapping regions of the pair of sub-image gain maps are equal or substantially equal.

Abstract: A method includes obtaining multiple input images of a scene based on image data captured using multiple imaging sensors. The method also includes generating a gain map identifying relative gains of the imaging sensors. The gain map is generated using the input images and translational and rotational offsets between one or more pairs of the input images. Generating the gain map may include using, for each pair of the input images, a rotation matrix based on a rotation angle between the pair of the input images. The method may further include using the gain map to process additional image data captured using the imaging sensors.

Abstract: A method includes obtaining multiple spatially-displaced input images of a scene based on image data captured using multiple imaging sensors. The method also includes dividing each of the input images into multiple overlapping sub-images. The method further includes generating multiple overlapping sub-image gain maps based on the sub-images. In addition, the method includes combining the sub-image gain maps to produce a final gain map identifying relative gains of the imaging sensors. An adjacent and overlapping pair of sub-image gain maps are combined by renormalizing gain values in at least one of the pair of sub-image gain maps so that average gain values in overlapping regions of the pair of sub-image gain maps are equal or substantially equal.