As a contrast, CSNL can reconstruct all the details of the solar image as a result of introduction of the nonlocal operator.
Figures 5(b), 5(c), and 5(d) give the reconstructed images employing the CSC, CS, and CSNL, respectively.
By incorporating nonlocal operator, CSNL provides much better visual reconstruction quality and SNR than CSC and CS.
The point of departure in CSNL is a set of four basic assumptions.
This is what underlies the concept of a generalized constraint (Zadeh 1986) in CSNL.
As alluded to already, the key idea underlying CSNL is that the meaning of a proposition, p, can be represented as a generalized constraint on a variable.