Institute of Information Theory and Automation

Publication details

Blur Invariants Constructed From Arbitrary Moments

Journal Article

Kautsky J., Flusser Jan

serial: IEEE Transactions on Image Processing vol.20, 12 (2011), p. 3606-3611

research: CEZ:AV0Z10750506

project(s): GAP103/11/1552, GA ČR

keywords: Blur invariants, image moments

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abstract (eng):

This paper deals with moment invariants with respect to image blurring. It is mainly a reaction to the works of Zhang et al. and Chen et al., recently published in these Transactions. We present a generalmethod on how to construct blur invariants from arbitrary moments and show that it is no longer necessary to separately derive the invariants for each polynomial basis. We show how to discard dependent terms in blur invariants definition and discuss a proper implementation of the invariants in orthogonal bases using recurrent relations. An example for Legendre moments is given.


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Last modification: 21.12.2012
Institute of Information Theory and Automation