Multi-focus pixel-based image fusion in dual domain

Abstract

Redundant-transform-based image fusion approaches require a lot of memory and computations. This paper proposes an effective and efficient multi-focus image fusion technique in dual domain using a redundant transform. The proposed scheme captures high-frequency informations, e.g. edges and slant textures, of images efficiently, and reduce the computational cost. The proposed scheme extracts the high-frequency information of images with multiple directional lapped orthogonal transforms (M-DirLOTs) through the following procedure: (1) reconstruct the detail image using high-pass subbands, (2) execute a fusion operation in spatial domain through joint measurement and (3) improve the performance by mathematical morphology processing. The proposed method overcomes some disadvantages of traditional transform-based and spatial-based fusion techniques. Experimental results show that the proposed method is able to significantly improve the fusion performance.