Gradient-based texture cartoon decomposition

We proposed an automatic nonlinear texture-cartoon decomposition based on the frequency behavior of texture and cartoon across different scales. We measured the ratio of gradient magnitude across modulation domain components and used this ratio to classify the texture and cartoon pixels. The algorithm computed the modulation domain component where texture and cartoon are separated. Our simulation results showed that the proposed algorithm is able to extract meaningful texture and cartoon components from images efficiently.