An auto-invertible neural network for image halftoning and restoration

In this paper, we apply the so-called Q´tron NN (neural network) paradigm to perform image halftoning and the `associated´ image restoration. These processes are considered to be located at the different sides of the same process. On one side, the process converts a grey-tone image into a binary image, i.e., halftoning. On the other side, the process just performs the inverse, i.e., it restores a binary image to a grey-tone image. One will see that such an auto-associativity regarding the two tightly correlated images is one of the important features of a Q´tron NN. Experimental results are presented to demonstrate that the resulting quality of images is quite satisfactory