Calculus based image processing using python

Visualization is a powerful way to learn due to the appreciation of the visual stimuli. Thus, we provide the results of the various terms found in multivariable calculus applied to images rather than the conventional applications found in physics and engineering textbooks. We believe that images provide a more intuitive feel when observed. This makes it easier to understand, appreciate and enjoy several aspects of multivariable calculus and partial differential equations without being bogged down by the mathematics. The terms such as gradient, norm, vector, divergence, curvature, eigenvectors should be familiar and even if not, the visual representation hopefully, should create a lasting impression on the reader as they study the concepts.