Singular value decomposition based fusion for super-resolution image reconstruction

► Scale Invariant Feature Transform, Belief Propagation and Random Sampling Consensus effectively eliminates the mismatch point. ► Singular Value Decomposition (SVD)-based fusion preserves the important features from the images. ► As a direct result of the registration improvement, the performance of super-resolution algorithm is significantly improved.