Poisson image blending in MATLAB
Poisson Blending is implemented with sparse matrix to solve the linear equation (Ax=b). It can handle gray or RGB image by recursive method.
Gradient-domain image processing is a simple technique applicable to blending, tone-mapping, and non-photorealistic rendering. In this assignment, we will use gradient-domain blending for seamless image compositing; so-called Poisson blending because in the process of compositing we will solve a kind of second-order partial differential equation commonly known as Poisson's equation (after Siméon Denis Poisson).
Select background and target images, in main.m(input directory), then run main.m