1. A method comprising: accessing a left eye (LE) image and a right eye (RE) image that represent a 3D image; filtering the LE image and the RE image to reduce undesirable noise; determining, based on depth information relating to the LE and RE image, one or more first depths of a first 3D image feature in the 3D image; and applying, after the filtering, one or more noise patterns to the first 3D image feature in the 3D image based on the one or more first depths of the first 3D image feature in the 3D image.