Digital Signal Processing

2201 Submissions

[2] viXra:2201.0141 [pdf] submitted on 2022-01-20 18:41:26

A Blind Source Separation Technique for Document Restoration Based on Edge Estimation

Authors: Antonio Boccuto, Ivan Gerace, Valentina Giorgetti, Gabriele Valenti
Comments: 86 Pages.

In this paper we study a Blind Source Separation (BSS) problem, and in particular we deal with document restoration. We consider the classical linear model. To this aim, we analyze the derivatives of the images instead of the intensity levels. Thus, we can establish a non-overlapping constraints on document sources. Moreover, we impose that the rows of the mixture matrices of the sources have sum equal to 1, in order to keep equal the lightnesses of the estimated sources and of the data. Here we give a technique which uses the symmetric factorization, whose goodness is tested by the experimental results.
Category: Digital Signal Processing

[1] viXra:2201.0050 [pdf] submitted on 2022-01-10 14:13:32

Blind Source Separation in Document Restoration: an Interference Level Estimation

Authors: Antonio Boccuto, Ivan Gerace, Valentina Giorgetti
Comments: 21 Pages.

We deal with the problem of blind separation of the components, in particular for documents corrupted by bleed-through and show-through. So, we analyze a regularization technique, which estimates the original sources, the interference levels and the blur operators. We treat the estimate of the interference levels, given the original sources and the blur operators. In particular, we investigate several GNC-type algorithms for minimizing the energy function. In the experimental results, we find which algorithm gives more precise estimates of the interference levels.
Category: Digital Signal Processing