The mini batch method is a blend of the SGD and batch methods. It selects a part of the training dataset and uses them for training in the batch method. Therefore,it calculates the weight updates of the selected data and trains the neural network with the averaged weight update. For examp...
outpict = imblend(lowfreq,outpict,1,'grainextract'); % adjust levels/gamma outpict = imlnc(outpict,'independent','g',0.8,'k',2); Could I get more contrast out of it? Perhaps, but it's hard for me to judge at which point readability ...
Many widely used colour maps have perceptual flat spots that can hide features as large as 10% of your total data range. They may also have points of locally high colour contrast leading to the perception of false features in your data when there are none. MATLAB's 'hot', 'jet', and ...