Influence of radiometric density noise and geometric position noise in reconstruction based superresolution

Abstract

In this paper, impacts of noises included in subpixel shifted and overlapping images (multiple low resolution images) are evaluated based on superresolution experiments using iterative back-projection method. Two kinds of noises of radiometric density noise and geometric position noise have been examined in the experiment. The experimental results show the following. 1) Gaussian density noise decreases image resolution in proportion to magnitude of the noise. 2) Salt-and-pepper density noise influences significantly even a small amount. 3) Gaussian position noise should be reduced under the pixel size of a desired high resolution image. 4) Salt-and-pepper position noise does not influence resolution so much, when noise magnitude is pixel size level of a desired high resolution image.