tailieunhanh - Báo cáo hóa học: "Research Article Detection and Correction of Under-/Overexposed Optical Soundtracks by Coupling "

Tuyển tập báo cáo các nghiên cứu khoa học quốc tế ngành hóa học dành cho các bạn yêu hóa học tham khảo đề tài: Research Article Detection and Correction of Under-/Overexposed Optical Soundtracks by Coupling | Hindawi Publishing Corporation EURASIP Journal on Advances in Signal Processing Volume 2008 Article ID 281486 17 pages doi 2008 281486 Research Article Detection and Correction of Under- Overexposed Optical Soundtracks by Coupling Image and Audio Signal Processing Jonathan Taquet 1 Bernard Besserer 1 Abdelali Hassaine 2 and Etienne Decenciere2 1 Laboratoire Informatique Image Interaction Universite de La Rochelle 17042 La Rochelle France 2 Centre de Morphologie Mathematique Ecole Nationale Superieure des Mines de Paris 77305 Fontainebleau France Correspondence should be addressed to Bernard Besserer Received 2 October 2007 Revised 15 June 2008 Accepted 26 June 2008 Recommended by Anil Kokaram Film restoration using image processing has been an active research field during the last years. However the restoration of the soundtrack has been mainly performed in the sound domain using signal processing methods despite the fact that it is recorded as a continuous image between the images of the film and the perforations. While the very few published approaches focus on removing dust particles or concealing larger corrupted areas no published works are devoted to the restoration of soundtracks degraded by substantial underexposure or overexposure. Digital restoration of optical soundtracks is an unexploited application field and besides scientifically rich because it allows mixing both image and signal processing approaches. After introducing the principles of optical soundtrack recording and playback this contribution focuses on our first approaches to detect and cancel the effects of under and overexposure. We intentionally choose to get a quantification of the effect of bad exposure in the 1D audio signal domain instead of 2D image domain. Our measurement is sent as feedback value to an image processing stage where the correction takes place building up a digital image and audio signal closed loop processing. The approach is .