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- W3131872051 abstract "In this work, an efficient pixel-wise perceptual masking model that operates in the Lifting Wavelet Transform (LWT) is proposed for fingerprint images. The proposed model simulates the Human Visual System (HVS) behavior in a better way by exploiting four of its characteristics, namely: the frequency band sensitivity, the local brightness, the texture masking and the edge masking. It allows estimating the maximum unnoticeable noise for each coefficient. Experimental results show that the proposed model has high-noise tolerance when compared to a number of related state-of-the-art models." @default.
- W3131872051 created "2021-03-01" @default.
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- W3131872051 date "2021-01-01" @default.
- W3131872051 modified "2023-09-23" @default.
- W3131872051 title "Perceptual Masking Model Using Lifting Wavelet Transform for Fingerprint Images" @default.
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- W3131872051 doi "https://doi.org/10.1007/978-3-030-69418-0_16" @default.
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