L 2 -norm optimum interpolator for image reconstruction: applications in remote sensing image magnification
Ping Tak Peter Tang, Chongguang Zhu · Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE · 2002
For remote sensing imagery, every sensor system has unique system response, namely, point spread function (PSF), or modulation transfer function (MTF), which can be considered as sampling kernel given a prior. Sampling process like this doesn't satisfy Shonnon-Whittaker Representation Theorem's requirements, in such case, exact reconstruction is impossible. We have to look for optimal reconstruction in the sense of mean square, i.e. L 2 -norm. In this paper, we are mainly concerned with the applications of optimal reconstruction theory in remote sensing image processing, our aim is to develop a new resampling method for image magnification.