L2-norm optimum interpolator for image reconstruction: applications in remote sensing image magnification

Ping Tang; Chongguang Zhu

doi:10.1117/12.477127

31 July 2002 L₂-norm optimum interpolator for image reconstruction: applications in remote sensing image magnification

Ping Tang, Chongguang Zhu

Proceedings Volume 4875, Second International Conference on Image and Graphics; (2002) https://doi.org/10.1117/12.477127
Event: Second International Conference on Image and Graphics, 2002, Hefei, China

Abstract

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.

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Ping Tang and Chongguang Zhu "L₂-norm optimum interpolator for image reconstruction: applications in remote sensing image magnification", Proc. SPIE 4875, Second International Conference on Image and Graphics, (31 July 2002); https://doi.org/10.1117/12.477127

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KEYWORDS

Image processing

Convolution

Remote sensing

Image restoration

Modulation transfer functions

Point spread functions

Image enhancement

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