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Erschienen in:
2011 | OriginalPaper | Buchkapitel
Wavelet Domain Blur Invariants for 1D Discrete Signals
verfasst von : Iman Makaremi, Karl Leboeuf, Majid Ahmadi
Erschienen in: Image Analysis and Recognition
Verlag: Springer Berlin Heidelberg
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Wavelet domain blur invariants, which were proposed for the first time in [10] by the authors, are modified in order to suit a wider range of applications. With the modified blur invariants, it is possible to address the applications in which the blur systems are not necessarily energy-preserving. Also, for a simpler implementation of the wavelet decomposition for discrete signals, we use a method which preserves an important property of the invariants: shift invariance. The modified invariants are utilized in two different experiments in order to evaluate their performance.