A Novel Multi-Focus Image Fusion Algorithm Using Stationary Wavelet Transform

During this paper, by considering the most target of multi-focus image fusion and therefore the physical importance of wavelet coefficients, a stationary wavelet transform (SWT) based mostly fusion strategy with a completely unique coefficients choice formula is displayed. When the supply pictures square deteriorated by SWT, 2 completely different window-based fusion rules square measure severally used to join the low frequency and high frequency coefficients. Within the technique, the coefficients with in the low frequency area with most extreme sharpness focus live square measure chosen as coefficients of the combined image, and a greatest neighboring vitality based mostly combination set up is projected to vitality based mostly combination set up is projected to settle on high frequency sub-bands coefficients. Thus on make sure the homogeneity of the resultant coalesced image, a consistency confirmation technique is connected to the combined coefficients. The performance assessment of the projected technique was directed in each artificial and real multi-focus pictures. Experimental results exhibit that the projected technique will accomplish higher visual quality and objective analysis indexes than a number of existing coalesced ways, during this manner being an efficient multi-focus image fusion methodology. Keyword—multi-focus image fusion, stationary wavelet transform coefficients, image sharpness, energy.