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

Physics

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