A Review on Multi-Focus Image Fusion Techniques in Surveillance Applications for Image Quality Enhancement

Abstract

Image fusion is process of aggregating two or more than two degraded images into single image whose overall image quality is better than the previous input images. Multi-focus image fusion (MFIF) is one of the kinds of image fusion. MFIF is process of aggregating two or more than two multi-focused images (left/right/top/bottom focused) into single fused image whose overall image quality is better than input images. Out of various applications, surveillance is the major application of MFIF. Weak images may be enhanced by image fusion technique. This paper discusses various multi-focus image fusion techniques. The main discussed techniques are based SWT, DWT, PCA, CNN, Method noise etc. These techniques work under the environment of visual sensor network (VSN), where all the surveillance cameras are attached to single central computer system. This system performs the operation of MFIF. This paper also comparatively discusses the techniques based on various parameters like objective, methodology, merits, and demerits.