Improving recto document side restoration with an estimation of the verso side from a single scanned page

We present a new method for blind document bleed through removal based on separately restoring the recto and the verso side. The segmentation algorithm is based on separate Markov random fields (MRF) which results in a better adaptation of the prior to the content creation process (e.g. superimposing two pages), and the improvement of the estimation of the verso pixels through an estimation of the verso pixels covered by recto pixels. The labels of the initial recto and verso clusters are recognized without using any color or gray value information. The proposed method is evaluated empirically as well as through OCR improvement.