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Face Recognition in Low Quality Images: A Survey [article]

Pei Li, Loreto Prieto, Domingo Mery, Patrick Flynn
2019 arXiv   pre-print
However, those videos or images are usually captured with large standoffs, arbitrary illumination condition, and diverse angles of view. Faces in these images are generally small in size.  ...  Its applications lie widely in the real-world environment when high-resolution or high-quality images are hard to capture. One of the biggest demands for LRFR technologies is video surveillance.  ...  SUPER RESOLUTION BASED METHODS The accuracy of the traditional face recognition systems is drastically degraded when encountered with low-resolution faces.  ... 
arXiv:1805.11519v3 fatcat:izpl554u3fga5d62e6jxw4zuwu

Efficient Learning of Image Super-Resolution and Compression Artifact Removal with Semi-Local Gaussian Processes

Younghee Kwon, Kwang In Kim, James Tompkin, Jin Hyung Kim, Christian Theobalt
2015 IEEE Transactions on Pattern Analysis and Machine Intelligence  
Improving the quality of degraded images is a key problem in image processing, but the breadth of the problem leads to domain-specific approaches for tasks such as super-resolution and compression artifact  ...  As such, our algorithm can be easily customized to specific applications and datasets, and we show the efficiency and effectiveness of our approach across five domains: single-image super-resolution for  ...  Kwon was with KAIST, while K. I. Kim was with the machine learning group, Saarland University, and while K. I. Kim and J. Tompkin were with the GVV group, Max-Planck-Institute for Informatics. J.  ... 
doi:10.1109/tpami.2015.2389797 pmid:26353127 fatcat:mfrvzvkprjcxphs62kjt3kw7ba

2021 Index IEEE Transactions on Image Processing Vol. 30

2021 IEEE Transactions on Image Processing  
The Author Index contains the primary entry for each item, listed under the first author's name.  ...  The primary entry includes the coauthors' names, the title of the paper or other item, and its location, specified by the publication abbreviation, year, month, and inclusive pagination.  ...  ., +, TIP 2021 3956-3969 Multi-Stage Degradation Homogenization for Super-Resolution of Face Images With Extreme Degradations.  ... 
doi:10.1109/tip.2022.3142569 fatcat:z26yhwuecbgrnb2czhwjlf73qu

Example-Based Regularization Deployed to Super-Resolution Reconstruction of a Single Image

M. Elad, D. Datsenko
2008 Computer journal  
In super-resolution (SR) reconstruction of images, regularization becomes crucial when insufficient number of measured low-resolution images is supplied.  ...  This paper concludes with an outline of the outstanding challenges this field faces today.  ...  FIGURE 6 . 6 The ORL face database, containing 40 different people, each with 10 images of size 112 Â 92 pixels. FIGURE 7 . 7 Face 1.(a) Original image.(b) Degraded image.  ... 
doi:10.1093/comjnl/bxm008 fatcat:4lhp4f3vfzcdnjh4jugyiklt7u

A Study on the Performance of Unconstrained Very Low Resolution Face Recognition: Analyzing Current Trends and New Research Directions

Luis S. Luevano, Leonardo Chang, Heydi Mendez-Vazquez, Yoanna Martinez-Diaz, Miguel Gonzalez-Mendoza
2021 IEEE Access  
However, several face recognition challenges remain in the context of very low resolution homogeneous (same domain) and heterogeneous (different domain) face recognition.  ...  In this survey, we study the seminal and novel methods to tackle the very low resolution face recognition problem and provide an in-depth analysis of their design, effectiveness, and efficiency for a real-time  ...  The network is comprised of two subnetworks: one for synthetic LR images with supervised training and one for Native LR face images without supervision for super resolution.  ... 
doi:10.1109/access.2021.3080712 fatcat:hkzki3uw4jgn5gygqrntzlzkti

Super-resolution of a 3-dimensional scene from novel viewpoints

Kyle Nelson, Asim Bhatti, Saeid Nahavandi
2012 2012 12th International Conference on Control Automation Robotics & Vision (ICARCV)  
Super-resolution is an image enhancement method that increases the spatial resolution of video or images.  ...  In order to combat the potential increase in super-resolution execution time associated with examining complex 3D scenes, several methods of intelligently selecting frames from an input image sequence  ...  Ham et al. utilise super-resolution concepts in [117] to overcome image degradation problems associated with synthetic zooming.  ... 
doi:10.1109/icarcv.2012.6485347 dblp:conf/icarcv/NelsonBN12 fatcat:wfakbldhzfhl3jlkcwsuu7v34m

A Survey on Heterogeneous Face Recognition: Sketch, Infra-red, 3D and Low-resolution [article]

Shuxin Ouyang, Timothy Hospedales, Yi-Zhe Song, Xueming Li
2014 arXiv   pre-print
We finish by assessing the state of the field and discussing promising directions for future research.  ...  Heterogeneous face recognition (HFR) refers to matching face imagery across different domains.  ...  Super-resolution van Ouwerkerk 2006 ] is used to reconstruct a HR representation of LR probe image. Then matching can be performed with any state of the art homogeneous face recognition systems.  ... 
arXiv:1409.5114v2 fatcat:pytctlmtonf6bhb4z3pszxoove

Bilateral Spectrum Weighted Total Variation for Noisy-Image Super-Resolution and Image Denoising [article]

Kaicong Sun, Sven Simon
2021 arXiv   pre-print
We benchmark our method with the state-of-the-art approaches on the public real-world datasets for super-resolution and image denoising.  ...  In this paper, we propose a regularization technique for noisy-image super-resolution and image denoising.  ...  In this paper, we address the drawback of the NLTV and propose a generalized algorithm coping with mixed Poisson-Gaussian noise for real-world super-resolution and image denoising. III.  ... 
arXiv:2106.00768v3 fatcat:4x6ve5etbjhytgr3by456gmznm

Deep Neural Network–based Enhancement for Image and Video Streaming Systems: A Survey and Future Directions

Royson Lee, Stylianos I. Venieris, Nicholas D. Lane
2022 ACM Computing Surveys  
In recent years, advances in the field of deep learning on tasks such as super-resolution and image enhancement have led to unprecedented performance in generating high-quality images from low-quality  ...  Finally, we present promising future directions based on the latest insights from deep learning research to further boost the quality of experience of content delivery systems.  ...  rapid image super-resolution.  ... 
doi:10.1145/3469094 fatcat:vonlsk72hbg27jx2q6umrfpu2q

A survey on heterogeneous face recognition: Sketch, infra-red, 3D and low-resolution

Shuxin Ouyang, Timothy Hospedales, Yi-Zhe Song, Xueming Li, Chen Change Loy, Xiaogang Wang
2016 Image and Vision Computing  
χ 2 [29, 30] NN with χ 2 [35, 41] NN with χ 2 [42] NN with HI [34] NN with Cosine [10] NN with Cosine [28] Multi-class (Tr) Bayesian [8], Metric learning [32] Metric learning [53] SVM [48] Verification  ...  Heterogeneous face recognition (HFR) refers to matching face imagery across different domains.  ...  Super-resolution [140] is used to reconstruct a HR representation of LR probe image. Then matching can be performed with any state of the art homogeneous face recognition systems.  ... 
doi:10.1016/j.imavis.2016.09.001 fatcat:hy666szkk5bgfoazyxgwy6hli4

Unified Single-Image and Video Super-Resolution via Denoising Algorithms [article]

Alon Brifman, Yaniv Romano, Michael Elad
2018 arXiv   pre-print
Single Image Super-Resolution (SISR) aims to recover a high-resolution image from a given low-resolution version of it.  ...  Video Super Resolution (VSR) targets series of given images, aiming to fuse them to create a higher resolution outcome.  ...  We compared our proposed schemes to super-resolution algorithms for SISR, Multi-Frame Super-Resolution and VSR, achieving in all cases state-of-the-art results.  ... 
arXiv:1810.01938v1 fatcat:cnbptuimcjbw7poqh5ib5hjvmq

Deep Learning in Multimodal Remote Sensing Data Fusion: A Comprehensive Review [article]

Jiaxin Li, Danfeng Hong, Lianru Gao, Jing Yao, Ke Zheng, Bing Zhang, Jocelyn Chanussot
2022 arXiv   pre-print
With the extremely rapid advances in remote sensing (RS) technology, a great quantity of Earth observation (EO) data featuring considerable and complicated heterogeneity is readily available nowadays,  ...  Hence, this non-negligible limitation further arouses an intense demand for an alternative tool with powerful processing competence.  ...  Acknowledgements This work was supported by the National Natural Science Foundation of China [62161160336, 42030111]; MIAI@Grenoble Alpes [ANR-19-P3IA-0003]; and the AXA Research Fund.  ... 
arXiv:2205.01380v1 fatcat:5btxnj5e5rf2xn65iofrh4epbu

Burnt area mapping in insular Southeast Asia using medium resolution satellite imagery

Jukka Miettinen
2007 Dissertationes Forestales  
ACKNOWLEDGEMENTS This study was conducted at the Department of Forest Resource Management, at the University of Helsinki, Finland, Centre for Remote Imaging, Sensing and Processing (CRISP), at the National  ...  I am grateful to these institutions and foundations for providing the research facilities and funding that made this study possible.  ...  super-resolution images.  ... 
doi:10.14214/df.45 fatcat:7oqqf62ghjhmnctltkspm5yovq

Face Hallucination: Theory and Practice

Ce Liu, Heung-Yeung Shum, William T. Freeman
2007 International Journal of Computer Vision  
In this paper, we study face hallucination, or synthesizing a high-resolution face image from an input low-resolution image, with the help of a large collection of other high-resolution face images.  ...  The effectiveness of our approach is demonstrated by extensive experiments generating high-quality hallucinated face images from low-resolution input with no manual alignment.  ...  The authors appreciate the help from Lin Liang of MSRA for aligning the training faces and running face detector for the test images.  ... 
doi:10.1007/s11263-006-0029-5 fatcat:fwwyrup77naavekk2gmni3ooeu

Colour-Balanced Edge-Guided Digital Inpainting: Applications on Artworks

Irina-Mihaela Ciortan, Sony George, Jon Yngve Hardeberg
2021 Sensors  
Moreover, we simulate the stochasticity of the lacunae in artworks with morphological variations of a random walk mask that recreate various degradations, including craquelure.  ...  We propose an inpainting algorithm that is based on generative adversarial network, with two generators: one for edges and another one for colors.  ...  Otherwise, the result of the inpainting can be improved by being fed to super-resolution model.  ... 
doi:10.3390/s21062091 pmid:33802671 fatcat:6bwn7xnc6raxraems2azz4fa5a
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