Method for reducing a temporal noise in an image sequence of a camera

A computer-readable storage medium comprising a computer program product with a computer program, which, when the program code is executed by an electronic computing device, the electronic computing device performs a method for reducing a temporal noise in an image sequence by a camera of an assistance system of a motor vehicle by an electronic computing device of the assistance system, comprising:

• capturing a first image of the image sequence of an environment of the motor vehicle by the camera at a first point in time and capturing a second image of the image sequence of the environment by the camera at a second point in time that is later than the first point in time;
• determining at least one feature in the second image by a feature capturing module of the electronic computing device;
• determining of pixels associated with the at least one feature in the second image by the feature capturing module;
• generating a weighting map comprising a weight value for each pixel of the second image by an adaptive motion estimation module of the electronic computing device;
• and
• reducing the temporal noise by blending pixels of the first image with pixels of the second image in dependence on the generated weighting map by a blending module of the electronic computing device.

An assistance system of a motor vehicle for reducing a temporal noise in an image sequence, comprising:

• a camera;
• an electronic computing device, with the electronic computing device including at least one feature capturing module, at least one adaptive motion estimation module, and at least one blending module, wherein the electronic computing device is configured to:
• capture a first image of the image sequence of an environment of the motor vehicle by the camera at a first point in time and capturing a second image of the image sequence of the environment by the camera at a second point in time that is later than the first point in time;
• determine at least one feature in the second image by the at least one feature capturing module;
• determine of pixels associated with the at least one feature in the second image by the at least one feature capturing module;
• generate a weighting map comprising a weight value for each pixel of the second image by the at least one adaptive motion estimation module;
• and
• reduce the temporal noise by blending pixels of the first image with pixels of the second image in dependence on the generated weighting map by the at least one blending module.