Title: Photo Quality Assessment based on a Focusing Map to Consider Shallow Depth of Field
Authors: Ryu, Dong-Sung
Park, Sun-Young
Cho, Hwan-Gue
Citation: WSCG 2011: Full Papers Proceedings: The 19th International Conference in Central Europe on Computer Graphics, Visualization and Computer Vision in cooperation with EUROGRAPHICS Association, p. 51-56.
Issue Date: 2011
Publisher: Václav Skala - UNION Agency
Document type: konferenční příspěvek
URI: http://wscg.zcu.cz/WSCG2011/!_2011_WSCG_Full_papers.pdf
ISBN: 978-80-86943-83-1
Keywords: digitální fotografie;hodnocení kvality;hloubka pole
Keywords in different language: digital photography;quality assessment;depth of field
Abstract: Proliferation and advances in digital cameras encourage people to take many photos. However, the number of photos that people can access is increasing exponentially. Good quality photo selection is becoming burdensome. In this paper, we propose a novel method to evaluate photo quality considering DoF (Depth of Field) based on a focusing map. The focusing map is a form of saliency map classified into four levels based on the spatial distribution of Canny edges. We implemented it in a CUDA environment to improve the speed of focusing map generation. In order to evaluate our method, we tested our feature on the four classified 206 photos; then, we compare our method to a photo set manually classified by a user. The proposed measure efficiently assesses the photos with DoF. Especially, the expert group who used DSLR camera agreed that our photo assessment measure is useful.
Rights: © Václav Skala - UNION Agency
Appears in Collections:WSCG '2011: Full Papers Proceedings

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Please use this identifier to cite or link to this item: http://hdl.handle.net/11025/10812

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