Review of Edge-Guided Single Depth Image Super Resolution
Volume: 6 - Issue: 01 - Date: 01-01-2017
Approved ISSN: 2278-1412
Published Id: IJAECESTU286 | Page No.: 105-108
Author: Priya Pandey
Co- Author: Maneela Jain
Abstract:-In this paper a review of develop a spatially adaptive total variation model. At first,
the spatial information is extracted supported each and every pixel, and at that point 2 filtering
process are added to restrain the impact of pseudo edges. In addition of this, the spatial info
weight is built and classified with k-means clustering, and also the regularization strength in every
region is controlled by center value of the cluster. The exploratory results, on both simulated and
genuine datasets, demonstrate that the proposed methodology can adequately diminish the pseudo
edges of the total variation regularization in the flat areas, and keep up the partial smoothness of
the HR images.
Key Words:-Single depth image, super resolution, edge-guided, joint bilateral up-sampling, Markov random field
Area:-Engineering
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