1 February 1991 Fusion of multiple fixations with a space-variant sensor: conditional optimality of maximum-resolution blending
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Proceedings Volume 1381, Intelligent Robots and Computer Vision IX: Algorithms and Techniques; (1991) https://doi.org/10.1117/12.25156
Event: Advances in Intelligent Robotics Systems, 1990, Boston, MA, United States
Abstract
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.
© (1991) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Alan S. Rojer, Eric L. Schwartz, "Fusion of multiple fixations with a space-variant sensor: conditional optimality of maximum-resolution blending", Proc. SPIE 1381, Intelligent Robots and Computer Vision IX: Algorithms and Techniques, (1 February 1991); doi: 10.1117/12.25156; https://doi.org/10.1117/12.25156
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