# image reconstruction using a set of kernels

I try to be brief. For what I understood Convolutional Neural Network CNN for style-transfer extract/learn the main features of source Image. I think these features basically are Kernels (of different sizes depending on Levels). What I ask is how to reconstruct image once we obtained the Kernels. To simplify let's assume I have N-kernels of the same size. How should I reconstruct the Image using only the Kernels ? If question is not clear I'll try to clarify it. (I try using and weighting their responses, but not succeed) Thanks.

PS I wrongly posted to stackoverflow the question... but I think this DSP is the right place. link to Stackoverflow: https://stackoverflow.com/questions/41833641/image-reconstruction-using-kernels