Aplicação do Algoritmo ISAT na Superamostragem de Sinais Bidimensionais

There are numerous methods to increase pixel density in an image, many of them based in its frequency com- ponents, others based in computational intelligence techniques, among others. In this paper, we implement a supersampling method based on ISAT (In Situ Adaptive Tabulation). To assess the method’s efficiency, we compare the results of our simulations with classical techniques. While the algorithm here is presented with an emphasis on image processing, it could be used with signals with any dimensions.