An efficient image compression technique using variable quadtree resolution and neural networks

We propose to realize the use of quadtree image decomposition with neural networks for the target of obtaining compression results better than the algorithms that are based mainly on neural networks. The process of iterative image decomposition is based mainly on a constant block identifier which depends on the characteristics of the human visual system.