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Computing Large-Kernel Convolutions of Images - Softcover

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9781334538056: Computing Large-Kernel Convolutions of Images

Synopsis

This book provides an in-depth exploration of Gaussian and Laplacian-of-Gaussian convolutions, techniques pivotal to edge detection and image processing. The author explores the historical development of these methods, presenting a historical lineage from their early theoretical origins through to their application in computer vision. This book discusses the advantages and disadvantages of various approaches to calculating these convolutions on both serial and parallel architectures. The book includes theoretical proofs and examples to illustrate the mathematical underpinnings of these image processing methods and will be of particular interest to computer scientists and those working in computer graphics and image analysis. This book provides fresh insights into the challenges and opportunities that large-kernel convolutions present and will help researchers surmount these.

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About the Author

David Lowe was born in Barnsley, Yorkshire, into a coal mining family. He went on to study philosophy and politics at Queens College, Oxford, and later took his M.A. in art history at Oxford Brooks. His time is taken up increasingly by lecturing and study groups in the United States and United Kingdom. The weeds in his garden in Oxford grow progressively taller.

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