Smearing is an inevitable phenomenon that occurs during the charge transfer process with CCD imaging sensors. For still images, smearing can be reduced by using a mechanical shutter or special drive methods, but these techniques cannot be applied to image sequences. In this paper, we propose a smear removal algorithm that can be applied to imaging systems for not only still images but also image sequences. The proposed algorithm uses the optical black region (OBR), a group of pixels located in the boundary of CCD imaging sensors. Although the OBR is not generally exposed to light, it contains smear information caused by the charge transport. For this reason, the proposed method estimates the smear component from the signal recorded in the OBR and produces a corrected OBR signal by removing noise. Then, the corrected OBR signal is uniformly subtracted from the signals in the effective pixel region to eliminate the smear effect. Moreover, the saturated pixels are substituted by the weighted average of the neighboring pixels to prevent visual degradation.
Bibliographical noteFunding Information:
This research was supported by Seoul Future Contents Convergence (SFCC) Cluster established by Seoul R&BD Program and Basic Science Research Program through the National Research Foundation of Korea(NRF) funded by the Ministry of Education, Science and Technology (2009-0079024). Young Seok Han, Euncheol Choi, and Moon Gi Kang are with the Institute of TMS Information Technology, Yonsei University, Seoul, Korea (e-mail: firstname.lastname@example.org, email@example.com, firstname.lastname@example.org). Contributed Paper Manuscript received October 12, 2009 0098 3063/09/$20.00 © 2009 IEEE
All Science Journal Classification (ASJC) codes
- Media Technology
- Electrical and Electronic Engineering