Structure Analysis of Low Resolution Fax Cover Pages
DAS '98 Selected Papers from the Third IAPR Workshop on Document Analysis Systems: Theory and Practice
Document image analysis: issues, comparison of methods and remaining problems
Artificial Intelligence Review
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We present a new scheme for the restoration of faxed images degraded by both salient noise and additive white noise. We consider two fundamental aspects of faxed image restoration: modeling and the restoration algorithm. First, a model of a faxed image is presented. The model is based on an autoregressive Gauss-Markov random field and includes vertical and horizontal overlap effects. In particular, we concentrate on the nonsymmetric half plane causality. Second, the restoration of faxed images degraded by salient noise and additive white noise is considered by 2D Kalman filtering which provides an efficient recursive procedure. In order to illustrate the effectiveness of the proposed scheme, we present experimental results on the restoration of a faxed image.