Motion dependent spatiotemporal smoothing for noise reduction in very dim light image sequences
Publikation/Tidskrift/Serie: Proceedings - International Conference on Pattern Recognition
Förlag: Institute of Electrical and Electronics Engineers Inc.
A new method for noise reduction using spatiotemporal smoothing is presented in this paper. The method is developed especially for reducing the noise that arises when acquiring video sequences with a camera under very dim light conditions. The work is inspired by research on the vision of nocturnal animals and the adaptive spatial and temporal summation that is prevalent in the visual systems of these animals. From analysis using the so-called structure tensor in the three-dimensional spatiotemporal space, motion segmentation and global ego-motion estimation, Gaussian shaped smoothing kernels are oriented mainly in the direction of the motion and in spatially homogeneous directions. In static areas, smoothing along the temporal dimension is favoured for maximum preservation of structure. The technique has been applied to various dim light image sequences and results of these experiments are presented here.
- Visual systems
- Gaussian shaped smoothing kernels
- Video sequences
- Image sequences
18th International Conference on Pattern Recognition, ICPR 2006
Hong Kong, China
- Lund Vision Group
- ISSN: 1051-4651