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Wireless Personal Communications
Published in: Wireless Personal Communications 1/2018

06-02-2018

Depth Image Enhancement and Detection on NSCT and Fractional Differential

Authors: Ting Cao, Weixing Wang

Published in: Wireless Personal Communications | Issue 1/2018

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Abstract

For enhancing the low contrast and detecting the noise in depth image from Kinect sensor, the Non-Subsampled Contourlet Transform (NSCT) and non-linear fractional differential are studied in this paper. Firstly, on the basis of the NSCT’s advantages, the depth image is decomposed into low frequency and high frequency. The low frequency component is applied to enhance depth image using adaptive scale Retinex, and the scale parameter is adjusted by local mean and standard deviation. The high frequency component is calculated by Non-Local-Means operator to preserve the texture detail. The final enhanced image can be achieved by inverse NSCT. Secondly, the fractional differential theory is studied to accomplish noise detection. The experimental results show that the proposed method can enhance the depth image and detect noise effectively.
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Metadata
Title
Depth Image Enhancement and Detection on NSCT and Fractional Differential
Authors
Ting Cao
Weixing Wang
Publication date
06-02-2018
Publisher
Springer US
Published in
Wireless Personal Communications / Issue 1/2018
Print ISSN: 0929-6212
Electronic ISSN: 1572-834X
DOI
https://doi.org/10.1007/s11277-018-5494-y

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