1. A method for processing samples of an image or sequence of images, the method comprising: encoding a first set of samples with a first encoding process; encoding a second set of samples with a second encoding process; filtering reconstructed samples of the first set based on information associated with at least one of the first encoding process and the second encoding process; and combining the filtered reconstructed samples of the first set with reconstructed samples of the second set to obtain a new representation of the reconstructed samples of the second set; and wherein the filtering comprises a multi-hypothesis filtering and a confidence value comprising a difference between each filtered reconstructed sample of the first set and samples lying within a filter support; wherein the multi-hypothesis filtering comprises generating, for each reconstructed sample of the first set, a plurality of different filter outputs; and the combining includes selecting one of the different filter outputs as the filtered reconstructed samples of the first set; wherein the selecting includes selecting one of the different filter outputs as the filtered reconstructed samples of the first set based on the confidence value in relation to a threshold.