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SINGLE DEPTH IMAGE SUPER-RESOLUTION USING CONVOLUTIONAL NEURAL NETWORKS

Abstract: 

In this paper, we propose single depth image super-resolution using convolutional neural networks (CNN). We adopt CNN to acquire a high-quality edge map from the input low-resolution (LR) depth image. We use the high-quality edge map as the weight of the regularization term in a total variation (TV) model for super-resolution. First, we interpolate the LR depth image using bicubic interpolation and extract its low-quality edge map. Then, we get the high-quality edge map from the low-quality one using CNN. Since the CNN output often contains broken edges and holes, we refine it using the low-quality edge map. Guided by the high-quality edge map, we upsample the input LR depth image in the TV model. The edge-based guidance in TV effectively removes noise in depth while minimizing jagged artifacts and preserving sharp edges. Various experiments on the Middlebury stereo dataset and Laser Scan dataset demonstrate the superiority of the proposed method over state-of-the-arts in both qualitative and quantitative measurements.

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Paper Details

Authors:
Cheolkon Jung
Submitted On:
12 April 2018 - 11:53pm
Short Link:
Type:
Poster
Event:
Presenter's Name:
Baoliang Chen
Paper Code:
1979
Document Year:
2018
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Document Files

ICASSP2018poster_Depth_rev_final .pdf

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[1] Cheolkon Jung, "SINGLE DEPTH IMAGE SUPER-RESOLUTION USING CONVOLUTIONAL NEURAL NETWORKS ", IEEE SigPort, 2018. [Online]. Available: http://sigport.org/2577. Accessed: May. 20, 2018.
@article{2577-18,
url = {http://sigport.org/2577},
author = {Cheolkon Jung },
publisher = {IEEE SigPort},
title = {SINGLE DEPTH IMAGE SUPER-RESOLUTION USING CONVOLUTIONAL NEURAL NETWORKS },
year = {2018} }
TY - EJOUR
T1 - SINGLE DEPTH IMAGE SUPER-RESOLUTION USING CONVOLUTIONAL NEURAL NETWORKS
AU - Cheolkon Jung
PY - 2018
PB - IEEE SigPort
UR - http://sigport.org/2577
ER -
Cheolkon Jung. (2018). SINGLE DEPTH IMAGE SUPER-RESOLUTION USING CONVOLUTIONAL NEURAL NETWORKS . IEEE SigPort. http://sigport.org/2577
Cheolkon Jung, 2018. SINGLE DEPTH IMAGE SUPER-RESOLUTION USING CONVOLUTIONAL NEURAL NETWORKS . Available at: http://sigport.org/2577.
Cheolkon Jung. (2018). "SINGLE DEPTH IMAGE SUPER-RESOLUTION USING CONVOLUTIONAL NEURAL NETWORKS ." Web.
1. Cheolkon Jung. SINGLE DEPTH IMAGE SUPER-RESOLUTION USING CONVOLUTIONAL NEURAL NETWORKS [Internet]. IEEE SigPort; 2018. Available from : http://sigport.org/2577