Enhanced Morphological Component Analysis Based Image Fusion

Abstract

MCA is a novel image decomposition method based on sparse representation. The basic idea is separating various morphological characteristics included in the image on the basis of image morphological composition differences. The research modifies the MCA technique. In the existing morphological component analysis technique there are some constraints present that introduce the noise. This noise degrades the resultant image. The proposed algorithm uses the filters to remove the noise. The filters used at the different level. The two input image is separated in two parts i.e. textual part and the smooth part.