Computation of component image velocity from local phase information
International Journal of Computer Vision
Digital image processing (2nd ed.)
Digital image processing (2nd ed.)
Algorithms for Image Processing and Computer Vision
Algorithms for Image Processing and Computer Vision
Digital Image Processing
Digital Signal Filtering, Analysis and Restoration (Telecommunications Series)
Digital Signal Filtering, Analysis and Restoration (Telecommunications Series)
GPU optimization of convolution for large 3-d real images
ACIVS'12 Proceedings of the 14th international conference on Advanced Concepts for Intelligent Vision Systems
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In image processing, convolution is a frequently used operation. It is an important tool for performing basic image enhancement as well as sophisticated analysis. Naturally, due to its necessity and still continually increasing size of processed image data there is a great demand for its efficient implementation. The fact is that the slowest algorithms (that cannot be practically used) implementing the convolution are capable of handling the data of arbitrary dimension and size. On the other hand, the fastest algorithms have huge memory requirements and hence impose image size limits. Regarding the convolution of huge images, which might be the subtask of some more sophisticated algorithm, fast and correct solution is essential. In this paper, we propose a fast algorithm implementing exact computation of the shift invariant convolution over huge multi-dimensional image data.