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17 December 2015 Blind estimation of affine transformation using 2D cyclostationarity of resampled images
Junhai Ou, Jiangqun Ni
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Proceedings Volume 9811, MIPPR 2015: Multispectral Image Acquisition, Processing, and Analysis; 98110L (2015) https://doi.org/10.1117/12.2205468
Event: Ninth International Symposium on Multispectral Image Processing and Pattern Recognition (MIPPR2015), 2015, Enshi, China
Abstract
This paper presents a unified way to estimate the parameters of affine transformation in the absence of original image. With 2-D cyclostationary characterization, we analytically show that the covariance of affine transformed image is periodic with the affine transformation matrix. Based on the relationship between the affine transformation matrix and the position of resampling-caused striking peaks in the 2-D spectrum of the image’s edge map, we further study how to estimate the parameters of several typical affine transformations, e.g., the scaling factor, the rotation angle, the joint scaling and rotation transformation parameters. Examples of the output of our algorithm are shown and comparative results are presented to evaluate the performance of the proposed algorithm.
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Junhai Ou and Jiangqun Ni "Blind estimation of affine transformation using 2D cyclostationarity of resampled images", Proc. SPIE 9811, MIPPR 2015: Multispectral Image Acquisition, Processing, and Analysis, 98110L (17 December 2015); https://doi.org/10.1117/12.2205468
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KEYWORDS
Image analysis
Error analysis
Expectation maximization algorithms
Image processing
Americium
Factor analysis
Rubidium
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