Abstract: A system for filtering an input image dataset is disclosed. A plurality of sequences of input signal values, wherein each sequence corresponds to a different attribute, wherein an input signal value is associated with an attribute and a sampling point i. At least one processor 4 is configured to control computing an output signal value corresponding to a sampling point and an attribute. For a particular sampling point i and for each of a plurality of different attributes of the set of attributes, associating a weight to an input signal value based on a similarity between the signal value and for a plurality of the sampling points j excluding the sampling point i. Also the system computes a weighted sum based on the input signal values and weights. The attribute is a location or a frequency.

Abstract: A system for filtering an input image dataset is disclosed. A plurality of sequences of input signal values, wherein each sequence corresponds to a different attribute, wherein an input signal value is associated with an attribute and a sampling point i. At least one processor 4 is configured to control computing an output signal value corresponding to a sampling point and an attribute. For a particular sampling point i and for each of a plurality of different attributes of the set of attributes, associating a weight to an input signal value based on a similarity between the signal value and for a plurality of the sampling points j excluding the sampling point i. Also the system computes a weighted sum based on the input signal values and weights. The attribute is a location or a frequency.