Title :
Show-through removal for scanned images using non-linear NMF with adaptive smoothing
Author :
Qingju Liu ; Wenwu Wang
Author_Institution :
Centre for Vision, Speech & Signal Process., Univ. of Surrey, Guildford, UK
Abstract :
Scans of double-sided documents often suffer from show-through distortions, where contents of the reverse side (verso) may appear in the front-side page (recto). Several algorithms employed for show-through removal from the scanned images, are based on linear mixing models, including blind source separation (BSS), non-negative matrix factorization (NMF), and adaptive filtering. However, a recent study shows that a non-linear model may provide better performance for resolving the overlapping front-reverse contents, especially in grayscale scans. In this paper, we propose a new non-linear NMF algorithm based on projected gradient adaptation. An adaptive filtering process is also incorporated to further eliminate the blurring effect caused by non-perfect calibration of the scans. Our numerical tests show that the proposed algorithm offers better results than the baseline methods.
Keywords :
adaptive filters; blind source separation; document image processing; filtering theory; matrix decomposition; BSS; NMF; adaptive filtering process; blind source separation; double-sided document scans; front-side page; linear mixing models; nonnegative matrix factorization; projected gradient adaptation; recto; scanned images; show-through distortions; show-through removal; Adaptation models; Equations; Gray-scale; Mathematical model; Optimization; Signal processing algorithms; Smoothing methods; BSS; NMF; Show-through; non-linear NMF; projected gradient;
Conference_Titel :
Signal and Information Processing (ChinaSIP), 2013 IEEE China Summit & International Conference on
Conference_Location :
Beijing
DOI :
10.1109/ChinaSIP.2013.6625422