Issues on filter networks for efficient convolution
2004 (English)In: Proceedings of the Swedish Symposium on Image Analysis (2004), Uppsala, 2004, 94-97 p.Conference paper (Other academic)
This paper presents the new project Efficient Convolution Operators for Image Processing of Volumes and Volume Sequences . The project is carried out in collaboration with Context Vision AB.
By using sequential filtering on 3D and 4D data, the number of nonzero filter coefficients for a desired filter set can be significantly reduced. A sequential convolution structure in combination with a convolver designed for sparse filters is a powerful tool for filtering of multidimensional signals.
The project mainly concerns the design of filter networks, that approximate a desired filter set, while keeping the computational load as low as possible. This is clearly an optimization problem, but it can be formulated in several different ways due to the complexity.
The project is in an initial state and the paper focuses on experiences from prior work and discuss possible approaches for the future progress.
Place, publisher, year, edition, pages
Uppsala, 2004. 94-97 p.
Engineering and Technology
IdentifiersURN: urn:nbn:se:liu:diva-22255Local ID: 1428OAI: oai:DiVA.org:liu-22255DiVA: diva2:242568
SSBA 2004 Symposium on Image Analysis, Uppsala, Sweden, 11-12 March 2004