| Paper: | TA-P1.11 |
| Session: | Video Surveillance I / Document Image Processing & Analysis |
| Time: | Tuesday, September 18, 09:50 - 12:30 |
| Presentation: |
Poster
|
| Title: |
SHOW-THROUGH CANCELLATION IN SCANNED IMAGES USING BLIND SOURCE SEPARATION TECHNIQUES |
| Authors: |
Boaz Ophir; Technion - Israel Institute of Technology | | |
| | David Malah; Technion - Israel Institute of Technology | | |
| Abstract: |
Show-Through is a common occurrence when scanning duplex printed documents. The back-side printing shows through the paper, contaminating the front side image. Previous work modeled the problem as a non-linear convolutive mixture of images and offered solutions based on decorrelation. In this work we propose a cleaning process based on a Blind Source Separation approach. We define a cost function incorporating the non-linear mixing model in a mean-squared error term, along with a regularization term based on Total-Variation. We propose a location dependent regularization tradeoff, preserving image edges while removing show-through edges. The images and mixing parameters are estimated using an alternating minimization process, with each stage using only convex optimization methods. The resulting images exhibit significantly lower show-through, both visibly and in objective measures. |
