We propose a novel Partial Differential Equation (PDE) based method for feature learning. The feature learned by our PDE is discriminative, also translationally and rotationally invariant, and robust to illumination variation.
An image denoising operator defined by a non-linear partial differential equation(PDE) is presented, which can remove noise, enhance step-like edges and keep the locality of the edges.