Temporal filtering weight computation

A computer system configured to perform temporal filtering via a filtering weight computation, said computer system comprising:

• one or more processors;
• and
• one or more computer-readable hardware storage devices that store instructions that are executable by the one or more processors to cause the computer system to perform the filtering weight computation by causing the computer system to:
• acquire a first image having a first timestamp, the first image being generated by a camera;
• acquire a second image having a second timestamp, the second image also being generated by the camera, wherein the first timestamp is before the second timestamp such that the first image is a previously acquired image relative to the second image;
• perform a motion compensation (MC) operation on the first image to account for motion that might have occurred during a time between the first timestamp and the second timestamp such that an MC image is generated;
• generate a difference image using the MC image and the second image, the difference image reflecting differences in intensities that exist between corresponding pixels in both the MC image and the second image;
• generate a local weight map based on the differences in intensities in the difference image;
• generate a global weight map based on inertial measurement unit (IMU) data that was generated by an IMU, the IMU data reflecting both an angular movement of the camera and an acceleration of the camera during a period between the first timestamp and the second timestamp;
• generate a final weight map based on a combination of the local weight map and the global weight map;
• use the final weight map to generate a filtered image;
• and
• during a subsequent iteration of the filtering weight computation, cause the filtered image to be used as the previously acquired image.

One or more hardware storage devices that store instructions that are executable by one or more processors of a computer system to cause the computer system to perform a filtering weight computation by causing the computer system to:

• acquire a first image having a first timestamp, the first image being generated by a camera;
• acquire a second image having a second timestamp, the second image also being generated by the camera, wherein the first timestamp is before the second timestamp such that the first image is a previously acquired image relative to the second image;
• perform a motion compensation (MC) operation on the first image to account for motion that might have occurred during a time between the first timestamp and the second timestamp such that an MC image is generated;
• generate a difference image using the MC image and the second image, the difference image reflecting differences in intensities that exist between corresponding pixels in both the MC image and the second image;
• generate a local weight map based on the differences in intensities in the difference image;
• generate a global weight map based on inertial measurement unit (IMU) data that was generated by an IMU, the IMU data reflecting both an angular movement of the camera and an acceleration of the camera during a period between the first timestamp and the second timestamp;
• generate a final weight map based on a combination of the local weight map and the global weight map;
• use the final weight map to generate a filtered image;
• and
• during a subsequent iteration of the filtering weight computation, cause the filtered image to be used as the previously acquired image.