Abstract: A method for reducing temporal noise in an image sequence by a camera of an assistance system of a motor vehicle by an electronic computing device. The method includes capturing a first image and a second image of the image sequence of an environment of the motor vehicle by the camera at a first point and a second point in time. Furthermore, determining at least one feature in the second image and determining of pixels associated with the at least one feature in the second image by the feature capturing module. Moreover, generating a weighting map comprising a weight value for each pixel of the second image by an adaptive motion estimation module. Lastly, 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.

Abstract: The invention relates to a method for generating an output image with a predefined target view showing a motor vehicle (1) and an environmental region (4) of the motor vehicle (1) based on at least partially overlapping raw images (RC1, RC2, RC3, RC4) captured by at least two vehicle-side cameras (5a, 5b, 5c, 5d), comprising the steps of: specifying respective camera-specific pixel density maps (PDM1a, PDM1b, PDM2a, PDM2b), which each describe an image-region dependent distribution of a number of pixels of the raw image (R1 to R4) captured by the associated camera (5a to 5d) contributing for the generation of the output image, spatially adaptive filtering of the raw images (RC1 to RC4) based on the pixel density map (PDM1a to PDM2b) specific to the associated camera (5a to 5d), which indicates an image region-dependent extent of the filtering, identifying mutually corresponding image areas (B1a, B1b, B2a, B2b, B3a, B3b, B4a, B4b) in the at least partially overlapping raw images (RC1 to RC4) of the at least