Thanks for the answer. I wan’t thinking like that. I though an images pixels distribution is contingent to the source from where it is obtained and thus uniquely could have high contrast, low saturation etc. Therefore, it is better to normalize individually than all together. The main purpose of normalization was to have faster learning and better convergence. For classification task objective would be learn distribution over images to discriminate  between classes.