E-MFIF-NSST: Entropy-based Multi-Focus Image Fusion technique in NSST domain

Multi-focus-image-fusion (MFIF) is an approach of fusing two or more multi-focused images into a single image that contains much more information than the previous input images. An efficient MFIF technique plays a vital role in the field of real-time surveillance applications specifically in virtual sensor network architecture (VSN). This paper presents a new entropy-based MFIF technique using a non-subsampled shearlet transform (NSST) domain (E-MFIF-NSST). The high pass sub-bands of input images are fused using the entropy-based fusion law, while the low pass sub-bands are fused using average operation. The outcomes of E-MFIF-NSST are tested using visual quality analysis and also using various performance metrics. The overall outcome analysis of E-MFIF-NSST proves the robustness and effectiveness over other compared methods.