Motion dependent spatiotemporal smoothing for noise reduction in very dim light image sequences

Summary, in English

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.

• Author: Henrik Malm; Eric Warrant
• Department/s: Department of Biology; Functional zoology; Lund Vision Group
• Publishing year: 2006
• Language: English
• Pages: 954-959
• Publication/Series: Proceedings - International Conference on Pattern Recognition
• Volume: 3
• Links: http://dx.doi.org/10.1109/ICPR.2006.813
• Document type: Conference paper
• Publisher: IEEE - Institute of Electrical and Electronics Engineers Inc.
• Topic: Zoology
• Keywords: Visual systems; Gaussian shaped smoothing kernels; Video sequences; Image sequences
• Conference name: 18th International Conference on Pattern Recognition, ICPR 2006
• Conference date: 2006-08-20 - 2006-08-24
• Conference place: Hong Kong, China
• Status: Published
• Research group: Lund Vision Group
• ISBN/ISSN/Other: ISSN: 1051-4651