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 conferenceObject |
URI: | http://wscg.zcu.cz/WSCG2010/Papers_2010/!_2010_Short-proceedings.pdf http://hdl.handle.net/11025/11071 |
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 |
Files in This Item:
File | Description | Size | Format | |
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Maslov.pdf | Plný text | 523,61 kB | Adobe PDF | View/Open |
Please use this identifier to cite or link to this item:
http://hdl.handle.net/11025/11071
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