Multispectrum, multi-polarization (MSMP) filtering for improved perception of difficult to perceive colors

One or more computer-readable non-transitory storage media embodying software that is operable when executed to cause one or more processors to perform operations comprising:

• accessing first image data generated by a first image sensor having a first filter array that has a first filter pattern, wherein the first filter pattern comprises a first plurality of filter types, one of which is a first filter type corresponding to a spectrum of interest;
• accessing second image data generated by a second image sensor having a second filter array that has a second filter pattern different from the first filter pattern, wherein the second filter pattern comprises a second plurality of filter types, wherein the second plurality of filter types and the first plurality of filter types have at least one filter type in common;
• determining a correspondence between one or more first pixels of the first image data and one or more second pixels of the second image data based on a portion of the first image data associated with the at least one filter type in common and a portion of the second image data associated with the at least one filter type in common;
• generating a tensor comprising composite data and spatial information using the first image data, the second image data, and the correspondence between the first image data and the second image data, wherein the composite data comprises data associated with the first filter type corresponding to the spectrum of interest;
• and
• detecting, based at least on the composite data of the tensor, one or more objects corresponding to the spectrum of interest.

A computing system comprising:

• one or more processors;
• and
• one or more computer-readable non-transitory storage media coupled to one or more of the processors, the one or more computer-readable non-transitory storage media comprising instructions operable when executed by one or more of the processors to cause the computing system to perform operations comprising:
• accessing first image data generated by a first image sensor having a first filter array that has a first filter pattern, wherein the first filter pattern comprises a first plurality of filter types, one of which is a first filter type corresponding to a spectrum of interest;
• accessing second image data generated by a second image sensor having a second filter array that has a second filter pattern different from the first filter pattern, wherein the second filter pattern comprises a second plurality of filter types, wherein the second plurality of filter types and the first plurality of filter types have at least one filter type in common;
• determining a correspondence between one or more first pixels of the first image data and one or more second pixels of the second image data generated by the one or more additional image sensors based on a portion of the first image data associated with the at least one filter type in common and a portion of the second image data associated with the at least one filter type in common;
• generating a tensor comprising composite data and spatial information using the first image data the second image data, and the correspondence between the first image data and the second image data, wherein the composite data comprises data associated with the first filter type corresponding to the spectrum of interest;
• and
• detecting, based at least on the composite data of the tensor, one or more objects corresponding to the spectrum of interest.