Browsing by Author "Faigenbaum-Golovin, S"

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Open Access
Literacy in Judah and Israel algorithmic and forensic examination of the Arad and Samaria Ostraca
(Near Eastern Archaeology, 2021-06-01) Faigenbaum-Golovin, S; Shaus, A; Sober, B; Gerber, Y; Turkel, E; Piasetzky, E; Finkelstein, I
A highly discussed issue in the fields of Hebrew epigraphy and biblical research is the level of literacy in the Iron Age kingdoms of Israel and Judah (Rollston 2010; Davies and Römer 2013; Schmidt 2015). Treating this topic using biblical texts, for example, the references to scribes at the time of a given monarch, may lead to circular argumentation: The reality behind a given account may reflect the time of the authors, who could have lived centuries later and retrojected their own situation back onto earlier history. A preferable methodology is to consider the material evidence—the corpora of Iron Age Hebrew ostraca from archaeological excavations. The idea is to use algorithmic and forensic methods to distinguish between handwritings and thus the number of authors in a given corpus.
Open Access
Potential contrast - A new image quality measure
(IS and T International Symposium on Electronic Imaging Science and Technology, 2017-01-01) Shaus, A; Faigenbaum-Golovin, S; Sober, B; Turkel, E
This paper suggests a new quality measure of an image, pertaining to its contrast. Several contrast measures exist in the current research. However, due to the abundance of Image Processing software solutions, the perceived (or measured) image contrast can be misleading, as the contrast may be significantly enhanced by applying grayscale transformations. Therefore, the real challenge, which was not dealt with in the previous literature, is measuring the contrast of an image taking into account all possible grayscale transformations, leading to the best "potential" contrast. Hence, we suggest an alternative "Potential Contrast" measure, based on sampled populations of foreground and background pixels (e.g. scribbles or saliency-based criteria). An exact and efficient implementation of this measure is found analytically. The new methodology is tested and is shown to be invariant to invertible grayscale transformations.