Abstract
Currently, there are many image correction algorithms in researching. However, due to bad selection of the transformation parameters, the correction effect is not very good in these algorithms. In this algorithm, according to the transformation features of an image, we can correct an image by using the combined transformation of translation transformation, rotation transformation and scaling transformation. Experimental results show that there are more noise points in this correction algorithm, but the corrected image is much better. Its results can be further processed for the research of image fusion. It laid the groundwork for future image processing.
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© 2012 Springer-Verlag GmbH Berlin Heidelberg
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Weiqing, W. (2012). The Image Correction Algorithm Based on Combined Transformation. In: Zhang, Y. (eds) Future Communication, Computing, Control and Management. Lecture Notes in Electrical Engineering, vol 141. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-27311-7_11
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DOI: https://doi.org/10.1007/978-3-642-27311-7_11
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-27310-0
Online ISBN: 978-3-642-27311-7
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