Abstract
In this paper we extend the use of the IMAP (Indirect Maximum A Priori) estimation to the inverse dithering problem. To find a continuous grey-levels image from a dithered image we have to estimate an appropriate blur mask. By the IMAP estimation we find the blur mask that permits to obtain the image that better fits the a priori knowledge on it. To reduce the computational cost we use an E-GNC (Extended Graduated Non-Convex) algorithm to perform the image restoration during the estimation.
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Discepoli, M., Gerace, I. (2004). Inverse Dithering through IMAP Estimation. In: Laganá, A., Gavrilova, M.L., Kumar, V., Mun, Y., Tan, C.J.K., Gervasi, O. (eds) Computational Science and Its Applications – ICCSA 2004. ICCSA 2004. Lecture Notes in Computer Science, vol 3046. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-24768-5_40
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DOI: https://doi.org/10.1007/978-3-540-24768-5_40
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-22060-2
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