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Depth image super-resolution reconstruction based on a modified joint trilateral filter

Dongsheng Zhou, Ruyi Wang, Xin Yang, Qiang Zhang, Xiaopeng Wei
2019 Royal Society Open Science  
Then, the high-quality edge map is used to guide the interpolation for depth images by a modified joint trilateral filter.  ...  Depth image super-resolution (SR) is a technique that uses signal processing technology to enhance the resolution of a low-resolution (LR) depth image.  ...  In this paper, a modified joint trilateral filter is presented for depth image SR. Given an LR depth image, HR edge map is reconstructed first by the sparse coding method.  ... 
doi:10.1098/rsos.181074 pmid:30800359 pmcid:PMC6366216 fatcat:qpzamksjqrg3zgdni3yhgp4p4y

Depth Image Super Resolution Based on Edge-Guided Method

2018 Applied Sciences  
Then, with the guidance of these high-quality edges, a depth image was interpolated by using a modified joint bilateral filter.  ...  Depth image super-resolution (SR) is a technique which can reconstruct a high-resolution (HR) depth image from a low-resolution (LR) depth image.  ...  Lo [20] proposes a depth image SR method based on joint trilateral filter.  ... 
doi:10.3390/app8020298 fatcat:w52tg7xpv5g77cyogssqqwh5qa

Deep Convolutional Grid Warping Network for Joint Depth Map Upsampling

Yoonmo Yang, Dongsin Kim, Byung Tae Oh
2020 IEEE Access  
The displacement vector for warping is obtained from an analysis of the corresponding high-resolution color image.  ...  They are often simultaneously acquired with color images; however, their resolution is significantly lower than that of color images owing to hardware limitations.  ...  In [5] , a single image super resolution network based on a convolutional neural network (CNN) was proposed.  ... 
doi:10.1109/access.2020.3015209 fatcat:s7minlrtuvcp7mqxu2sldetrgm

Deterministic Guided LiDAR Depth Map Completion [article]

Bryan Krauss, Gregory Schroeder, Marko Gustke, Ahmed Hussein
2021 arXiv   pre-print
This paper presents a non-deep learning-based approach to densify a sparse LiDAR-based depth map using a guidance RGB image.  ...  Accurate dense depth estimation is crucial for autonomous vehicles to analyze their environment.  ...  (joint trilateral guided filter).  ... 
arXiv:2106.07256v1 fatcat:f7r7givua5hnflt7f5bctmenvi

2019 Index IEEE Transactions on Circuits and Systems for Video Technology Vol. 29

2019 IEEE transactions on circuits and systems for video technology (Print)  
Fan, L., +, TCSVT Nov. 2019 3222-3235 Aggregation of Rich Depth-Aware Features in a Modified Stacked Generalization Model for Single Image Depth Estimation.  ...  ., +, TCSVT Aug. 2019 2405-2415 Aggregation of Rich Depth-Aware Features in a Modified Stacked Gener- alization Model for Single Image Depth Estimation.  ... 
doi:10.1109/tcsvt.2019.2959179 fatcat:2bdmsygnonfjnmnvmb72c63tja

Depth map artifacts reduction: a review

Mostafa Ibrahim, Qiong Liu, Rizwan Khan, Jingyu Yang, Ehsan Adeli, You Yang
2020 IET Image Processing  
Depth maps are crucial for many visual applications, where they represent the positioning information of the objects in a three-dimensional scene.  ...  However, a brutal truth is that both intrinsic and extrinsic artefacts can be found in these depth maps which limits the prosperity of three-dimensional visual applications.  ...  In this survey, we overlooked the depth map super-resolution (i.e. up-sampling) because many recent review papers on super-resolution topic are already done.  ... 
doi:10.1049/iet-ipr.2019.1622 fatcat:fe5szwvvprdspptvsviw2e4dym

Fast and Effective Region-based Depth Map Upsampling with Application to Location Map-Free Reversible Data Hiding

Kuo-Liang Chung, Yu-Ling Tseng, Tzu-Hsien Chan, Ching-Sheng Wang
2020 Journal of Advances in Mathematics and Computer Science  
In this paper, we rst propose a fast and eective region-based depth map upsampling method, and then propose a joint upsampling and location map-free reversible data hiding method, simpled called the JUR  ...  Then, we propose the depth copying, mean value, and bicubic interpolation approaches to reconstruct the three kinds of missing depth pixels quickly, respectively.  ...  Related works for depth map upsampling Based on the spatial filter kernel idea [4] , Kopf et al. [5] presented a joint bilateral filtering method for upsampling depth maps. Later, Kim et al.  ... 
doi:10.9734/jamcs/2020/v35i430268 fatcat:czcghyo4ovepvgs4v3dui4hfhu

A Fast Two-Stage Bilateral Filter Using Constant Time O(1) Histogram Generation

Sheng-Wei Cheng, Yi-Ting Lin, Yan-Tsung Peng
2022 Sensors  
This letter proposes a novel Dual-Histogram BF (DHBF) method that exploits an edge-preserving noise-reduced guidance image to compute the range kernel, removing isolated noisy pixels for better denoising  ...  Bilateral Filtering (BF) is an effective edge-preserving smoothing technique in image processing.  ...  The joint bilateral filter was modified to up-sample the depth image with the high-resolution edge guidance for image super-resolution [4] .  ... 
doi:10.3390/s22030926 pmid:35161677 pmcid:PMC8840302 fatcat:z74sbwmcrva7bbm6fw3is6rup4

Front Matter: Volume 7744

Proceedings of SPIE, Pascal Frossard, Houqiang Li, Feng Wu, Bernd Girod, Shipeng Li, Guo Wei
2010 Visual Communications and Image Processing 2010  
The publisher is not responsible for the validity of the information or for any outcomes resulting from reliance thereon.  ...  SPIE uses a six-digit CID article numbering system in which: The first four digits correspond to the SPIE volume number.  ...  (Japan) 7744 0F Joint trilateral filtering for depth map compression (Invited Paper) [7744-46] S. 7744 0G Time-variable camera separation for compression of stereoscopic video (Invited Paper) [7744  ... 
doi:10.1117/12.867262 dblp:conf/vcip/X10 fatcat:72pr7x7n2rcfbkqwy47uqlvsze

2018 Index IEEE Transactions on Biomedical Engineering Vol. 65

2018 IEEE Transactions on Biomedical Engineering  
., A Delayed-Excitation Data Acquisition Method for High-Frequency Ultrasound Imaging; TBME Jan. 2018 15-20 Qu, X., see Lu, H., TBME April 2018 809-820 Quigley, K.S., see Kleckner, I.R., TBME July 2018  ...  ., Using Machine Learning and a Combination of Respiratory Flow, Laryngeal Motion, and Swallowing Sounds to Classify Safe and Unsafe Swallowing; TBME Nov.  ...  ., +, TBME March 2018 521-527 Image filtering Brain MR Image Restoration Using an Automatic Trilateral Filter With GPU-Based Acceleration.  ... 
doi:10.1109/tbme.2018.2890522 fatcat:xoblnegncrgmbmiu3r3hxntrxy

A gentle introduction to bilateral filtering and its applications

Sylvain Paris
2007 ACM SIGGRAPH 2007 courses on - SIGGRAPH '07  
Georg would like to thank his parents for maintaining Castle Pyrmont, which provided a beautiful setting for many of the images in the paper.  ...  Style," and a grant from Royal Dutch/Shell Group.  ...  super-resolution, photo editing, and image based-modeling.  ... 
doi:10.1145/1281500.1281604 dblp:conf/siggraph/Paris07 fatcat:7hiertzncbe6hptgvrtvwvd3xi

A gentle introduction to bilateral filtering and its applications

Sylvain Paris, Pierre Kornprobst, Jack Tumblin, Frédo Durand
2007 ACM SIGGRAPH 2007 courses on - SIGGRAPH '07  
Georg would like to thank his parents for maintaining Castle Pyrmont, which provided a beautiful setting for many of the images in the paper.  ...  Style," and a grant from Royal Dutch/Shell Group.  ...  super-resolution, photo editing, and image based-modeling.  ... 
doi:10.1145/1281500.1281602 dblp:conf/siggraph/ParisKTD07 fatcat:6vgk5vo6crayhfppqoc3ehwd6y

A gentle introduction to bilateral filtering and its applications

Sylvain Paris, Pierre Kornprobst, Jack Tumblin, Frédo Durand
2008 ACM SIGGRAPH 2008 classes on - SIGGRAPH '08  
Georg would like to thank his parents for maintaining Castle Pyrmont, which provided a beautiful setting for many of the images in the paper.  ...  Style," and a grant from Royal Dutch/Shell Group.  ...  super-resolution, photo editing, and image based-modeling.  ... 
doi:10.1145/1401132.1401134 dblp:conf/siggraph/ParisKTD08 fatcat:czf26lysxzadvhr2vtgltfozxu

A Review of Indoor Millimeter Wave Device-based Localization and Device-free Sensing Technologies [article]

Anish Shastri, Neharika Valecha, Enver Bashirov, Harsh Tataria, Michael Lentmaier, Fredrik Tufvesson, Michele Rossi, Paolo Casari
2021 arXiv   pre-print
Then, we provide a detailed account of approaches and algorithms for localization and sensing enabled by mmWaves.  ...  This paper surveys the state of the art in device-based localization and device-free sensing using mmWave communication and radar devices, with a focus on indoor deployments.  ...  For instance, GANs have been used in [150] to generate dense maps from sparse inputs (also referred to as super resolution imaging) for the purpose of environment mapping in a low-visibility environment  ... 
arXiv:2112.05593v1 fatcat:tbsdro6ps5espeny5p2o32tqqa

An Experimental-based Review of Image Enhancement and Image Restoration Methods for Underwater Imaging

Yan Wang, Wei Song, Giancarlo Fortino, Lizhe Qi, Wenqiang Zhang, Antonio Liotta
2019 IEEE Access  
Underwater images play a key role in ocean exploration but often suffer from severe quality degradation due to light absorption and scattering in water medium.  ...  Although major breakthroughs have been made recently in the general area of image enhancement and restoration, the applicability of new methods for improving the quality of underwater images has not specifically  ...  [108] proposed underwater image super-resolution by obtaining high resolution (HR) image of scattered and descattered images and applying a convex fusion rule for recovering the final HR image.  ... 
doi:10.1109/access.2019.2932130 fatcat:n2kz7sgqlrhbhltfjgrfd3rnx4
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