Given a dictionary including multiple X-Y pairs where X, Y are both three dimensional structure. dictionaryBasedNonlocalMean
function returnreturns a output
which is weighted sum of each Y in the dictionary. Each weight of Y are based on the Manhattan distance between the input
of dictionaryBasedNonlocalMean
function and the corresponding X in the dictionary. In mathematical form, output is calculated with the following way.
output =
1.6622 1.6622 1.6622 1.6622 1.6622 1.6622 1.6622 1.6622
1.6622 1.6622 1.6622 1.6622 1.6622 1.6622 1.6622 1.6622
1.6622 1.6622 1.6622 1.6622 1.6622 1.6622 1.6622 1.6622
1.6622 1.6622 1.6622 1.6622 1.6622 1.6622 1.6622 1.6622
1.6622 1.6622 1.6622 1.6622 1.6622 1.6622 1.6622 1.6622
1.6622 1.6622 1.6622 1.6622 1.6622 1.6622 1.6622 1.6622
1.6622 1.6622 1.6622 1.6622 1.6622 1.6622 1.6622 1.6622
1.6622 1.6622 1.6622 1.6622 1.6622 1.6622 1.6622 1.6622
output =
1.6622 1.6622 1.6622 1.6622 1.6622 1.6622 1.6622 1.6622
1.6622 1.6622 1.6622 1.6622 1.6622 1.6622 1.6622 1.6622
1.6622 1.6622 1.6622 1.6622 1.6622 1.6622 1.6622 1.6622
1.6622 1.6622 1.6622 1.6622 1.6622 1.6622 1.6622 1.6622
1.6622 1.6622 1.6622 1.6622 1.6622 1.6622 1.6622 1.6622
1.6622 1.6622 1.6622 1.6622 1.6622 1.6622 1.6622 1.6622
1.6622 1.6622 1.6622 1.6622 1.6622 1.6622 1.6622 1.6622
1.6622 1.6622 1.6622 1.6622 1.6622 1.6622 1.6622 1.6622
Given a dictionary including multiple X-Y pairs where X, Y are both three dimensional structure. dictionaryBasedNonlocalMean
function return a output
which is weighted sum of each Y in the dictionary. Each weight of Y are based on the Manhattan distance between the input
of dictionaryBasedNonlocalMean
function and the corresponding X in the dictionary. In mathematical form, output is calculated with the following way.
output =
1.6622 1.6622 1.6622 1.6622 1.6622 1.6622 1.6622 1.6622
1.6622 1.6622 1.6622 1.6622 1.6622 1.6622 1.6622 1.6622
1.6622 1.6622 1.6622 1.6622 1.6622 1.6622 1.6622 1.6622
1.6622 1.6622 1.6622 1.6622 1.6622 1.6622 1.6622 1.6622
1.6622 1.6622 1.6622 1.6622 1.6622 1.6622 1.6622 1.6622
1.6622 1.6622 1.6622 1.6622 1.6622 1.6622 1.6622 1.6622
1.6622 1.6622 1.6622 1.6622 1.6622 1.6622 1.6622 1.6622
1.6622 1.6622 1.6622 1.6622 1.6622 1.6622 1.6622 1.6622
Given a dictionary including multiple X-Y pairs where X, Y are both three dimensional structure. dictionaryBasedNonlocalMean
function returns a output
which is weighted sum of each Y in the dictionary. Each weight of Y are based on the Manhattan distance between the input
of dictionaryBasedNonlocalMean
function and the corresponding X in the dictionary. In mathematical form, output is calculated with the following way.
output =
1.6622 1.6622 1.6622 1.6622 1.6622 1.6622 1.6622 1.6622
1.6622 1.6622 1.6622 1.6622 1.6622 1.6622 1.6622 1.6622
1.6622 1.6622 1.6622 1.6622 1.6622 1.6622 1.6622 1.6622
1.6622 1.6622 1.6622 1.6622 1.6622 1.6622 1.6622 1.6622
1.6622 1.6622 1.6622 1.6622 1.6622 1.6622 1.6622 1.6622
1.6622 1.6622 1.6622 1.6622 1.6622 1.6622 1.6622 1.6622
1.6622 1.6622 1.6622 1.6622 1.6622 1.6622 1.6622 1.6622
1.6622 1.6622 1.6622 1.6622 1.6622 1.6622 1.6622 1.6622
where ND is the count of X-Y pairs (the cardinality of set X and set Y) in the dictionary and the Gaussian function
where ND is the count of X-Y pairs in the dictionary and the Gaussian function
where ND is the count of X-Y pairs (the cardinality of set X and set Y) in the dictionary and the Gaussian function