Bone vessel image fusion via generalized reisz wavelet transform using averaging fusion rule

In DSA (Digital Subtraction angiography) image degradation such as prevalence of noise during fusion and blurring of the details is one of the common problems. To improve the performance of the generalized Reisz transform in context of osseous and vascular image fusion it is combined with averaging fusion method. The proposed method is not only able to preserve the spatial consistency of low level features but has also captured the directional structural information. The numerical and the visual assessment clearly depicts that there is negligible amount of noise prevalent in the final fused results which is usually a problem with other state of art fusion methods The performance analysis of the proposed method applied on DSA and mask image fusion demonstrates that it is competitive with state of art fusion methods, especially in combining spatial and structural information. Our proposed method GRWT (Generalized Reisz Wavelet Transform) along with averaging fusion method is able to yield much better results than the GRWT coupled with heuristic fusion model with far less complexity and the computational requirement having a fusion rate of 0.6958.