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Depth Analysis of Greyscale Integral Images Using Continuous Multiview Wavelet Transform
Joint Authors
Saveljev, Vladimir
Palchikova, Irina
Source
International Journal of Optics
Issue
Vol. 2018, Issue 2018 (31 Dec. 2018), pp.1-8, 8 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2018-12-02
Country of Publication
Egypt
No. of Pages
8
Main Subjects
Abstract EN
The wavelet analysis of the integral images can be used in extraction of the depth of the photographed/synthesized 3D objects.
The result of the analysis, however, depends on the colour/texture of the object and thus can be ambiguous.
In this paper, we propose to normalize the image before processing in order to avoid such an ambiguity, and to extract the depth without regard to the colour/texture.
The proposed technique is verified in multiple integral/plenoptic images and can be applied to multiview and light-field displays as well.
American Psychological Association (APA)
Saveljev, Vladimir& Palchikova, Irina. 2018. Depth Analysis of Greyscale Integral Images Using Continuous Multiview Wavelet Transform. International Journal of Optics،Vol. 2018, no. 2018, pp.1-8.
https://search.emarefa.net/detail/BIM-1173718
Modern Language Association (MLA)
Saveljev, Vladimir& Palchikova, Irina. Depth Analysis of Greyscale Integral Images Using Continuous Multiview Wavelet Transform. International Journal of Optics No. 2018 (2018), pp.1-8.
https://search.emarefa.net/detail/BIM-1173718
American Medical Association (AMA)
Saveljev, Vladimir& Palchikova, Irina. Depth Analysis of Greyscale Integral Images Using Continuous Multiview Wavelet Transform. International Journal of Optics. 2018. Vol. 2018, no. 2018, pp.1-8.
https://search.emarefa.net/detail/BIM-1173718
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1173718