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Depth analysis of greyscale integral images using continuous multiview wavelet transform. / Saveljev, Vladimir; Palchikova, Irina; Li, Xiaowei.

In: International Journal of Optics, Vol. 2018, 3151209, 01.01.2018.

Research output: Contribution to journal › Article › peer-review

Harvard

Saveljev, V, Palchikova, I & Li, X 2018, 'Depth analysis of greyscale integral images using continuous multiview wavelet transform', International Journal of Optics, vol. 2018, 3151209. https://doi.org/10.1155/2018/3151209

APA

Saveljev, V., Palchikova, I., & Li, X. (2018). Depth analysis of greyscale integral images using continuous multiview wavelet transform. International Journal of Optics, 2018, [3151209]. https://doi.org/10.1155/2018/3151209

Vancouver

Saveljev V, Palchikova I, Li X. Depth analysis of greyscale integral images using continuous multiview wavelet transform. International Journal of Optics. 2018 Jan 1;2018:3151209. doi: 10.1155/2018/3151209

Author

Saveljev, Vladimir ; Palchikova, Irina ; Li, Xiaowei. / Depth analysis of greyscale integral images using continuous multiview wavelet transform. In: International Journal of Optics. 2018 ; Vol. 2018.

BibTeX

@article{9f9f6046b7ab49c688d2af5b092d858e,
title = "Depth analysis of greyscale integral images using continuous multiview wavelet transform",
abstract = "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.",
keywords = "3D DISPLAY, ISSUES",
author = "Vladimir Saveljev and Irina Palchikova and Xiaowei Li",
year = "2018",
month = jan,
day = "1",
doi = "10.1155/2018/3151209",
language = "English",
volume = "2018",
journal = "International Journal of Optics",
issn = "1687-9384",
publisher = "Hindawi Publishing Corporation",

}

RIS

TY - JOUR

T1 - Depth analysis of greyscale integral images using continuous multiview wavelet transform

AU - Saveljev, Vladimir

AU - Palchikova, Irina

AU - Li, Xiaowei

PY - 2018/1/1

Y1 - 2018/1/1

N2 - 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.

AB - 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.

KW - 3D DISPLAY

KW - ISSUES

UR - http://www.scopus.com/inward/record.url?scp=85058928926&partnerID=8YFLogxK

U2 - 10.1155/2018/3151209

DO - 10.1155/2018/3151209

M3 - Article

AN - SCOPUS:85058928926

VL - 2018

JO - International Journal of Optics

JF - International Journal of Optics

SN - 1687-9384

M1 - 3151209

ER -

ID: 18185902