Abstract
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.
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Makaremi, I., Leboeuf, K., Ahmadi, M. (2011). Wavelet Domain Blur Invariants for 1D Discrete Signals. In: Kamel, M., Campilho, A. (eds) Image Analysis and Recognition. ICIAR 2011. Lecture Notes in Computer Science, vol 6753. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-21593-3_8
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