An Estimation of Mixing Coefficients in Image Separation Problem Using Multiwavelet Transforms

Abstract

Image separation problems, where observed images are weighted superpositions of translations and rotations of original images, are considered. The Algorithms for estimating fine relative translation parameters and relative mixing coefficients are proposed. Numerical experiments show that the proposed Algorithms work well.