Please use this identifier to cite or link to this item: https://idr.l1.nitk.ac.in/jspui/handle/123456789/6555
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dc.contributor.authorBalure, C.S.
dc.contributor.authorKini, M.R.
dc.contributor.authorBhavsar, A.
dc.date.accessioned2020-03-30T09:45:52Z-
dc.date.available2020-03-30T09:45:52Z-
dc.date.issued2016
dc.identifier.citation11th International Conference on Industrial and Information Systems, ICIIS 2016 - Conference Proceedings, 2016, Vol.2018-January, , pp.523-528en_US
dc.identifier.urihttp://idr.nitk.ac.in/jspui/handle/123456789/6555-
dc.description.abstractThis paper addresses the problem of super-resolution (SR) from a single low-resolution (LR) depth image to a high-resolution (HR) depth image. A simple yet effective method has been proposed using Discrete Wavelet Transform (DWT), Stationary Wavelet Transform (SWT), and by utilizing the gradient information of the interpolated LR image. We propose an intermediate stage to enhance the high-frequency subbands to recover the HR image for both noiseless and noisy scenarios. The proposed method has been validated on Middlebury dataset for different upsampling factors (i.e. 2, 4, 8) and is shown to be superior when compared with some related DWT and SWT based SR methods. We also demonstrate encouraging performance of the approach on noisy depth images. � 2016 IEEE.en_US
dc.titleSingle depth image super-resolution via high-frequency subbands enhancement and bilateral filteringen_US
dc.typeBook chapteren_US
Appears in Collections:2. Conference Papers

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