Sugeno-inspired aggregation functions applied to image reduction

The aimofthis project is to study the behaviour of Sugeno-inspired aggregation functions when applied to image reduction. Several variations of the aggregation functions will be tested and compared, analysing their similarity to the original (non-reduced) image. In order to be able to compare the reduced images to the original ones, it will be necessary to study and apply an image re-scaling method. In this case, a bicubic interpolation will be used for the re-scaling process. This way, the previously reduced images will be compared to the original ones and the obtained results will be studied. To study the obtained results, two different methods will be used, the similarity between images (which gives a number or score as a result) and the Mean Squared Error (MSE).