Multi-focus Digital Image Fusion Using Multi-Scale Wavelet Decomposition Scheme

Abstract

The successful fusion of images acquired from different modalities or instruments is of great importance
in many applications such as medical imaging microscopic imaging remote sensing computer vision and robotics.
Optical imaging cameras suffer from the problem of limited depth-of-field of optical lenses, so it is difficult to get an
image with all objects in focus. One way to overcome this problem is by using multi-focus image fusion technique, in
which several images with different focus points are combined to form a single image with all objects fully focused.
So, it is crucial to effectively extract the image information of the original images and reasonably combine them into
the final fusion image. Image fusion is a process of combining relevant information from two or more images into a
single informative image. The term image fusion refers to integration of information from different images of same
object. The resulting fused output will be more clear and informative than the inputs. This paper proposes an efficient
image fusion method based on different Multi-scale image wavelet decomposition techniques. Also quality assessment
of fused images analyzes which overcome by our proposed method with better outcomes.