So there is a more optimal compression algorithm for the relation between the MNIST inputs and outputs! Other models tend to add noise somewhere in there; what

So there is a more optimal compression algorithm for the relation between the MNIST inputs and outputs! Other models tend to add noise somewhere in there; what about feature engineering before the gzip? Maybe a gaussian blur and a convolution first and then deep learning for feature selection