Title: A Novel Image Transformation For Solving Complex Image Mapping Problems
Authors: Maslov, Igor V.
Detkova, Yulia D.
Gertner, Izidor
Citation: WSCG 2010: Communication Papers Proceedings: 18th International Conference in Central Europe on Computer Graphics, Visualization and Computer Vision in co-operation with EUROGRAPHICS, p. 279-284.
Issue Date: 2010
Publisher: Václav Skala - UNION Agency
Document type: konferenční příspěvek
URI: http://wscg.zcu.cz/WSCG2010/Papers_2010/!_2010_Short-proceedings.pdf
ISBN: 978-80-86943-87-9
Keywords: mapování obrazu;analýza odpovědí;optimalizace zobrazování;evoluční algoritmy
Keywords in different language: image mapping;response analysis;imaging optimization;evolutionary algorithms
Abstract: The paper proposes a novel image transformation called Image Local Response (ILR) that can be used for solving complex image mapping problems. The proposed transformation brings together two approaches based on the pixel value distribution and image features. Image local response is defined as the average value of the difference between the transformed and the original copies of the same image whereby the transformation is small, i.e., the components of the corresponding parameter vector have sufficiently small unit values. The response has a few interesting properties useful in image mapping. The validity of the proposed image transformation is shown on sample complex image mapping problems formulated as the multi-objective piecewise imaging optimization problem.
Rights: © Václav Skala - UNION Agency
Appears in Collections:WSCG 2010: Communication Papers Proceedings

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Please use this identifier to cite or link to this item: http://hdl.handle.net/11025/11071

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