A new motion estimation algorithm based on balanced multiwavelets vector transform

A new algorithm for accurate motion estimation (ME) using omnidirectionally balancing multiwavelets approximation is proposed. In gradient-based methods, the computation of motion field depends on minimizing the energy function and smoothness constraints. The proposed approach takes advantage of the nature of multiwavelets theory, which can simultaneously possess desirable properties to model vector fields and image related functions. Each flow vector and image function will be represented by linear combinations of multiscales basis functions. Once all the corresponding quadratic and convex function scale coefficients are determined, the motion field can be obtained. Compared with two existing algorithms, the new algorithm is robust in terms of accuracy.