Fusion of multiple fixations with a space-variant sensor: conditional optimality of maximum-resolution blending
Alan S. Rojer, Eric L. Schwartz · Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE · 1991
In previous work by ourselves and others it has been argued that the best algorithm for fusing multiple fixations of the same scene is to simply choose the maximum resolution information available at each position in the reconstructed scene. We can show under simple assumptions of pixel distributions that this algorithm is indeed optimal in a least-squared-error sense. In the presence of noise however optimality no longer holds a certain degree of averaging of lower resolution information is required to obtain optimal reconstruction. We also present empirical demonstrations of fused images using maximum-resolution and averaged blending techniqes and we illustrate the effects of noise on the quality of reconstruction.