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Robust Segmentation of Highly Dynamic Scene with Missing Data

Yinhui ZHANG, Zifen HE, Changyu LIU
2015 IEICE transactions on information and systems  
Inpainting depleted images using total variation facilitates detecting ambiguous objects from highly dynamic images, because it is more likely to yield areas of object instances with improved grayscale  ...  To make this possible, we exploit convex optimization of total variation beforehand for images with missing data in which depletion mask is available.  ...  In contrast, by inpainting the depleted images and meanwhile enhancing the relative contrast of foreground objects through ADMM based total variation approach, we can obtain more accurate segmentation  ... 
doi:10.1587/transinf.2014edl8131 fatcat:hr22kw3p7neija3rc6j32zdutq

Explainable Face Recognition [article]

Jonathan R. Williford, Brandon B. May, Jeffrey Byrne
2020 arXiv   pre-print
An explainable face matcher is tasked with generating a network attention map which best explains which regions in a probe image match with a mated image, and not with an inpainted nonmate for each triplet  ...  Finally, we show qualitative visualization of these network attention techniques on novel images, and explore how these explainable face recognition models can improve transparency and trust for facial  ...  The views and conclusions contained herein are those of the authors and should not be interpreted as necessarily representing the official policies or endorsements, either expressed or implied, of ODNI  ... 
arXiv:2008.00916v1 fatcat:cife4mpxfnfgldhqkgeihw7cqa

Modeling Gestalt Visual Reasoning on the Raven's Progressive Matrices Intelligence Test Using Generative Image Inpainting Techniques [article]

Tianyu Hua, Maithilee Kunda
2019 arXiv   pre-print
In this work, we investigate how Gestalt visual reasoning on the Raven's test can be modeled using generative image inpainting techniques from computer vision.  ...  We also show that models trained on other datasets (faces, places, and textures) do not perform as well.  ...  In general, most recent neural-networkbased image inpainting algorithms represent some combination of variational autoencoders (VAE) and generative adversarial networks (GAN) and typically contain an encoder  ... 
arXiv:1911.07736v2 fatcat:in3nngtpubgadl5fssycwekscq

Reduced-dose and high-speed acquisition strategies for multi-dimensional electron microscopy

Zineb Saghi, Martin Benning, Rowan Leary, Manuel Macias-Montero, Ana Borras, Paul A Midgley
2015 Advanced Structural and Chemical Imaging  
These information-rich imaging modes, though, are often subject to long acquisition times and large data generation.  ...  The combination of these novel acquisition schemes and image recovery strategies provides new avenues to reduced-dose and high-speed imaging.  ...  , the onenorm of a wavelet transformation of the image or the total generalised variation of the image (cf  ... 
doi:10.1186/s40679-015-0007-5 fatcat:n7rbhwtvjvhwpbb5qxgfujhhd4

Towards Unrestrained Depth Inference with Coherent Occlusion Filling

Arnav V. Bhavsar, A. N. Rajagopalan
2011 International Journal of Computer Vision  
We propose a depth estimation framework using calibrated images captured under general camera motion and lens parameter variations.  ...  One of the associated challenges in such an unrestrained scenario is the problem of removing user-defined foreground occluders in the reference depth map and image (termed inpainting of depth and image  ...  The inpainted image is shown in Fig. 18(f) . Note especially the salient aspects in the inpainted regions such as the structural details in the Pisa tower.  ... 
doi:10.1007/s11263-011-0476-5 fatcat:bdzmdt75f5ckxksu2oolkielui

Image quality assessment for inpainted images via learning to rank

Mariko Isogawa, Dan Mikami, Kosuke Takahashi, Hideaki Kimata
2018 Multimedia tools and applications  
It is known that inpainting results vary largely with the method used for inpainting and the parameters set.  ...  This paper proposes an image quality assessment (IQA) method for image inpainting, aiming at selecting the best one from a plurality of results.  ...  [12] and Huang et al. [15] ). To prevent the subjects from having prior knowledge of the material, we generated three types of images generated from each of 100 original images.  ... 
doi:10.1007/s11042-018-6186-z fatcat:u3ojrgnjhzem5dvvvtcg5ylkv4

Object removal in panoramic media

Andrew MacQuarrie, Anthony Steed
2015 Proceedings of the 12th European Conference on Visual Media Production - CVMP '15  
Secondly, inpainting in 360°images is examined, with an exploration of how the choice of projection affects the inpainting result.  ...  Due in large part to new consumer virtual reality systems, panoramic media is an increasingly popular image and video format.  ...  Standard media has a comparatively small FOV, so often the entire screen is filled with salient content. Panoramic media, in contrast, generally has a large amount of non-salient content.  ... 
doi:10.1145/2824840.2824844 dblp:conf/cvmp/MacQuarrieS15 fatcat:gmsc3x6ml5btlhaaknrfzevapq

Image Inpainting by Patch Propagation Using Patch Sparsity

Zongben Xu, Jian Sun
2010 IEEE Transactions on Image Processing  
Compared with the traditional examplar-based inpainting approach, structure sparsity enables better discrimination of structure and texture, and the patch sparse representation forces the newly inpainted  ...  regions to be sharp and consistent with the surrounding textures.  ...  Chan and Shen [3] proposed a variational framework based on total variation (TV) to recover the missing information.  ... 
doi:10.1109/tip.2010.2042098 pmid:20129864 fatcat:26cck4y36zdarm2gviyapc3p54

Patch-Based Video Processing: A Variational Bayesian Approach

Xin Li, Yunfei Zheng
2009 IEEE transactions on circuits and systems for video technology (Print)  
In this paper, we present a patch-based variational Bayesian framework for video processing and demonstrate its potential in denoising, inpainting and deinterlacing.  ...  Index Terms-video processing, patch-based models, sparsitybased priors, variational Bayesian, variational EM, weighted averaging.  ...  Protter and Prof. M. Elad for providing the denoising results of their K-SVD algorithm as the benchmark.  ... 
doi:10.1109/tcsvt.2008.2005805 fatcat:faai4nfzkvgwrh33pa4e2zzo7q

Computational Multi-View Imaging with Kinect

Xinchen Ye, Jingyu Yang, Hao Huang, Chunping Hou, Yao Wang
2014 IEEE transactions on broadcasting  
Disocclusion areas are inpainted progressively from the boundaries of disocclusion with an estimated priority consisting of four terms: warping term, reliability term, texture term, and depth term.  ...  In view synthesis, we propose a low-rank matrix restoration model to inpaint disocclusion regions, fully exploiting the nonlocal correlations in images, and devise an efficient algorithm under the augmented  ...  Chan and Shen [25] present the total variational (TV) inpainting model which used Euler-Lagrange equation and anisotropic diffusion based on the strength of the isophotes.  ... 
doi:10.1109/tbc.2014.2345931 fatcat:pg6orbwmobbdbhu6xb2z5vajwu

ICP [chapter]

2014 Computer Vision  
Definition An image decomposition is the result of a mathematical transformation of an image into a new set of images I 376 Image Enhancement and Restoration 6.  ...  Definition The purpose of illumination estimation is to determine the direction, intensity, and/or color of the lighting in a scene.  ...  More recent approaches to the minimization of total variation with subpixel accuracy should nowadays be preferred.  ... 
doi:10.1007/978-0-387-31439-6_100030 fatcat:kfm7gu7zenb6tlz5qu26dvf3q4

A Sparse Dictionary Learning-Based Adaptive Patch Inpainting Method for Thick Clouds Removal from High-Spatial Resolution Remote Sensing Imagery

Fan Meng, Xiaomei Yang, Chenghu Zhou, Zhi Li
2017 Sensors  
It should be mentioned that total variation (TV) [22] and partial differential equations (PDE) [23] were both introduced to the inpainting problem, which are sorted as the diffusion-based approaches and  ...  is more suitable for the removal of clouds from high-spatial resolution RS imagery with salient structures and abundant textured features.  ...  Preliminaries Exemplar-Based Image Inpainting Generally, an image is composed of structures and textured features, where structures constitute the main sketches in the image (e.g., contours and edges  ... 
doi:10.3390/s17092130 pmid:28914787 pmcid:PMC5621354 fatcat:527m6oxfxrfahnolmzldxkroa4

CMB data analysis and sparsity

P. Abrial, Y. Moudden, J.-L. Starck, J. Fadili, J. Delabrouille, M.K. Nguyen
2008 Statistical Methodology  
In order to restore the stationarity of a partly incomplete CMB map and thus lower the impact of the gaps on non-local statistical tests, we developed an inpainting algorithm on the sphere based on a sparse  ...  representation of the data, to fill in and interpolate across the masked regions.  ...  Acknowledgment Some of the results in this paper have been derived using the HEALPix package (Górski, Hivon, and Wandelt 1999).  ... 
doi:10.1016/j.stamet.2007.11.005 fatcat:2vrtoxiwqfgh5irm2mwshaaew4

Deep Saliency Prior for Reducing Visual Distraction [article]

Kfir Aberman, Junfeng He, Yossi Gandelsman, Inbar Mosseri, David E. Jacobs, Kai Kohlhoff, Yael Pritch, Michael Rubinstein
2021 arXiv   pre-print
less salient image regions to cover distractors, gradually collapsing objects into themselves and effectively removing them (an effect akin to inpainting); a GAN operator, which uses a semantic prior  ...  to fully replace image regions with plausible, less salient alternatives.  ...  Acknowledgments We thank Jon Barron, Phillip Isola, Tali Dekel, Dilip Krishnan and Bill Freeman for their valuable feedback.  ... 
arXiv:2109.01980v1 fatcat:6qbgdoth6zgqfcttgk2mtgkuyq

Image Compression With Edge-Based Inpainting

Dong Liu, Xiaoyan Sun, Feng Wu, Shipeng Li, Ya-Qin Zhang
2007 IEEE transactions on circuits and systems for video technology (Print)  
Evaluations have been made in comparison with baseline JPEG and standard MPEG-4 AVC/H.264 intra-picture coding.  ...  Inspired by recent advancements in image inpainting techniques, we propose an image compression framework towards visual quality rather than pixel-wise fidelity.  ...  Shum and J. Sun for their helpful discussions, and to D. Daniels for his editing. Also, thanks go to C. Wang for his previous work that has been integrated into our current system.  ... 
doi:10.1109/tcsvt.2007.903663 fatcat:2hvn4jjrcrad3ilmdmg7bzuy2u
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