Abstract
This paper proposes a new spatial-temporal Markov random field (MRF) model for the detection of missing data (also referred to as blotches) in image sequences. The blotches in noise-corrupted image sequences exhibit a temporal discontinuity characteristic that is commonly used for the detection of blotches. However, badly motion-compensated pixels also appear as temporal discontinuities, making it difficult to distinguish the true blotches from the poorly motion-compensated regions. The proposed MRF model addresses the problem of incorrect detection due to poor motion compensation at the moving edges. It is found that the degree of incorrect detection (at the moving edges) in image sequences is reduced significantly by incorporating a moving-edge detector into the MRF model.
Sign-in/Register to access full text options 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
