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Dictionary Replacement for Single Image Restoration of 3D Scenes
2016
Procedings of the British Machine Vision Conference 2016
unpublished
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In this paper, we address the problem of jointly estimating the latent image and the depth/blur map from a single space-variantly blurred image using dictionary replacement. ...
Let Y be the observed blurred image of a 3D scene and h 0 be the blur kernel corresponding to the most blurred region in the image. ...
single space-variantly blurred image using dictionary replacement. ...
doi:10.5244/c.30.32
fatcat:odku7b3mvzew7jdo54z5lyhavq
Hyperspectral video restoration using optical flow and sparse coding
2012
Optics Express
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Spectral restoration is followed by spatial restoration using a guided dictionary approach where one dictionary is learned for measured bands and another for a band that is to be spatially restored. ...
Optical flow errors are corrected by exploiting sparsity in the spectra and the spatial correlation between images of a scene at different wavelengths. ...
Optical flow in the horizontal direction for the scene inFig. 4represented as 3D plots. ...
doi:10.1364/oe.20.010658
pmid:22565691
fatcat:mrekhtdipfgkfavtmbnmw4sz4m
Compressive Hyperspectral Imaging With Side Information
2015
IEEE Journal on Selected Topics in Signal Processing
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By using RGB images as side information of the compressive sensing system, the proposed approach is extended to learn a coupled dictionary from the joint dataset of the compressed measurements and the ...
The inversion algorithm learns a dictionary in situ from the measurements via global-local shrinkage priors. ...
Particularly, the proposed algorithm learns a joint dictionary from a single CASSI measurement and the corresponding RGB image (of the same scene) and then reconstructs the hyperspectral datacube. ...
doi:10.1109/jstsp.2015.2411575
fatcat:v54lrrop5nhshlcyrzdaltjua4
ICP
[chapter]
2014
Computer Vision
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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. ...
An important advantage of the latter is its superior image quality, compared with 3D model building for complicated real world scenes. ...
doi:10.1007/978-0-387-31439-6_100030
fatcat:kfm7gu7zenb6tlz5qu26dvf3q4
Antialiasing recovery
2011
ACM Transactions on Graphics
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We present a method for restoring antialiased edges that are damaged by certain types of nonlinear image filters. ...
Our prototype system can process up to 500 megapixels per second and we present results for a number of different image filters. ...
We are grateful to Yongjin Kim, MartinČadík, Johannes Kopf, Jan Eric Kyprianidis, Giuseppe Papari and Phillip Greenspun, as well as the following Flickr R users for sharing their images: paullew, shoshonasnow ...
doi:10.1145/1966394.1966401
fatcat:36mq6flrjrg37fzn5teojievca
Learnable Reconstruction Methods from RGB Images to Hyperspectral Imaging: A Survey
[article]
2021
arXiv
pre-print
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However, the devices for acquiring hyperspectral images are expensive and complicated. ...
We present a thorough investigation of these state-of-the-art spectral reconstruction methods from the widespread RGB images. ...
ACKNOWLEDGMENT The authors would like to thank the authors of Sparse Coding, HSCNN, SR2D/3DNet, SRUNet, SRMSCNN, and etc. for providing open-source code. ...
arXiv:2106.15944v1
fatcat:zisfnjrs3nfkjexubp7f4esk4a
Compressive Sensing Hyperspectral Imaging by Spectral Multiplexing with Liquid Crystal
2018
Journal of Imaging
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The redundancy of the information motivates our quest to implement Compressive Sensing (CS) theory for HS imaging. ...
The outstanding advantage of the CS-MUSI camera is that the entire HS image is captured from an order of magnitude fewer measurements of the sensor array, compared to conventional HS imaging methods. ...
) for providing the liquid crystal cell. ...
doi:10.3390/jimaging5010003
pmid:34470182
fatcat:v7mcmsnh5zgrjhmfb3vpwitsl4
Depth map denoising using graph-based transform and group sparsity
2013
2013 IEEE 15th International Workshop on Multimedia Signal Processing (MMSP)
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In this paper, we build on two previously developed works in the image denoising literature to restore single depth maps-i.e., to jointly exploit local smoothness and nonlocal self-similarity of a depth ...
Experimental results show that for single depth maps corrupted with additive white Gaussian noise (AWGN), our proposed NLGBT denoising algorithm can outperform state-ofthe-art image denoising methods such ...
3D scene and the capturing camera) widely affordable. ...
doi:10.1109/mmsp.2013.6659254
dblp:conf/mmsp/HuLCA13
fatcat:msknlzwixrfzxbk4osh7d4rdk4
High Fidelity Single-Pixel Imaging
2019
IEEE Photonics Journal
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Index Terms: Single-pixel imaging, high fidelity, sparse coding, local prior. ...
Abstract: Single-pixel imaging (SPI) is an emerging technique which has attracted wide attention in various fields. ...
We can also learn the dictionary for a specific target scene for higher precision, and thus has the potential to broaden the practical application of single-pixel imaging. ...
doi:10.1109/jphot.2019.2900549
fatcat:4e3ctewyyzadvnformrxca2sya
Scene Text Deblurring in Non-stationary Video Sequences
2016
Procedia Computer Science
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The text as a linguistic component provides a significant amount of information for scene understanding, scene categorization, image retrieval, and many other challenging problems. ...
Also, the blind technique of a blurred text restoration is discussed. Additionally some results of the text detection are mentioned. ...
Acknowledgments This work was supported by the Russian Fund for Basic Researches, grant number 16-07-00121 A. ...
doi:10.1016/j.procs.2016.08.259
fatcat:ugoduvc2fzborovgfbzthzqkpm
Author Index
2010
2010 IEEE Computer Society Conference on Computer Vision and Pattern Recognition
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for Topology Classification of Local 3D
Structures
Okutomi, Masatoshi
Image Restoration and Disparity Estimation from an Uncalibrated Multi-Layered Image
Direct Image Alignment of Projector-Camera ...
Scenes Shape-based Similarity Retrieval of Doppler Images for Clinical Decision Support Türetken, Engin Delineating Trees in Noisy 2D Images and 3D Image-Stacks Turk, Matthew Workshop: Location-based ...
doi:10.1109/cvpr.2010.5539913
fatcat:y6m5knstrzfyfin6jzusc42p54
Ensemble Dictionary Learning for Single Image Deblurring via Low-Rank Regularization
2019
Sensors
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In this paper, an improved sparse representation model regularized by a low-rank constraint is proposed for single image deblurring. ...
The key motivation for the proposed model lies in the observation that natural images are full of self-repetitive structures and they can be represented by similar patterns. ...
Conflicts of Interest: The authors declare no conflict of interest. ...
doi:10.3390/s19051143
fatcat:zeowvlucbfafhihaxnk4j7xbii
Unveiling the invisible - mathematical methods for restoring and interpreting illuminated manuscripts
[article]
2018
Heritage Science
pre-print
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In this paper we discuss a range of mathematical methods for digital image restoration and digital visualisation for illuminated manuscripts. ...
The last fifty years have seen an impressive development of mathematical methods for the analysis and processing of digital images, mostly in the context of photography, biomedical imaging and various ...
) grant EP/L016516/1 for the University of Cambridge Centre for Doctoral Training, the Cambridge Centre for Analysis. ...
doi:10.1186/s40494-018-0216-z
pmid:31258910
pmcid:PMC6559148
arXiv:1803.07187v1
fatcat:hs7wkwiqzfhehcsx4bumeqtvsm
Rain Streaks and Snowflakes Removal for Video Sequences via Motion Compensation and Matrix Completion
2020
SN Computer Science
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We then employ the online dictionary learning for sparse representation technique, and SVM classifier to eliminate parts that are not rain streaks. ...
Image and video deraining tasks aim to reconstruct original scenes, from which human vision and computer vision systems can better identify objects and more details present in images and video sequences ...
Compliance with Ethical Standards Conflict of interest The authors declare that they have no conflict of interest. ...
doi:10.1007/s42979-020-00333-6
fatcat:55jnxg3x4fh3nknlpjlc3otaym
Bidirectional 3D Quasi-Recurrent Neural Networkfor Hyperspectral Image Super-Resolution
2021
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
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In this article, we design a bidirectional 3D quasi-recurrent neural network for HSI super-resolution with arbitrary number of bands. ...
Extensive evaluations and comparisons on HSI super-resolution demonstrate improvements over state-of-the-art methods, in terms of both restoration accuracy and visual quality. ...
[11] made a step forward by investigating how to adapt state-of-the-art residual learning-based single gray/RGB image super-resolution approaches for computationally efficient single HSI super-resolution ...
doi:10.1109/jstars.2021.3057936
fatcat:522lja4s65bbhhcm62lrelueby
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