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Fundamental limits of reconstruction-based superresolution algorithms under local translation

Zhouchen Lin, Heung-Yeung Shum
2004 IEEE Transactions on Pattern Analysis and Machine Intelligence  
Assuming local translation among low-resolution images, this paper is the first attempt to determine the explicit limits of reconstructionbased algorithms, under both real and synthetic conditions.  ...  In this paper, we focus on a major class of superresolution algorithms, called the reconstruction-based algorithms, which compute high-resolution images by simulating the image formation process.  ...  . 12) Then, the value of the base LRP is LIN AND SHUM: FUNDAMENTAL LIMITS OF RECONSTRUCTION-BASED SUPERRESOLUTION ALGORITHMS UNDER LOCAL TRANSLATION 93 x ðkÞ n ¼ 1 À Áx ðkÞ ; if n ¼ 0; 1; if 0 <  ... 
doi:10.1109/tpami.2004.1261081 pmid:15382688 fatcat:fsoehqsseze3tbe7qm2xa7doe4

Response to the comments on "Fundamental limits of reconstruction-based superresolution algorithms under local translation"

Zhouchen Lin, Heung-Yeung Shum
2006 IEEE Transactions on Pattern Analysis and Machine Intelligence  
Therefore, we only have to derive the limits under the condition that validates the perturbation theorem, as done in [2] .  ...  In this paper, we show that, when the perturbation theorem is invalid, the probability of successful superresolution is very low.  ...  Therefore, they doubted the validity of the fundamental limits of reconstruction-based superresolution (SR) algorithms claimed by Lin and Shum [2] . In the following, we will show that, when " P !  ... 
doi:10.1109/tpami.2006.105 fatcat:vncirdft55bllfafysp24dhaqe

A wavelet-based interpolation-restoration method for superresolution (wavelet superresolution)

Nhat Nguyen, Peyman Milanfar
2000 Circuits, systems, and signal processing  
This special type of nonuniform sampling is called interlaced sampling. We propose a new wavelet-based interpolation-restoration algorithm for superresolution.  ...  We present one-and two-dimensional superresolution experiments to demonstrate the effectiveness of our algorithm.  ...  When resolution cannot be improved by replacing sensors, either because of cost or hardware physical limits, we resort to using a superresolution algorithms.  ... 
doi:10.1007/bf01200891 fatcat:go7kuic6izf75dey5zaocmcxva

Super-Resolution Reconstruction by Image Fusion and Application to Surveillance Videos Captured by Small Unmanned Aircraft Systems [chapter]

Qiang He, Richard Schultz
2010 Sensor Fusion and its Applications  
Superresolution image reconstruction can reconstruct a highly-resolved image of a scene from either a single image or a time series of low-resolution images based on image registration and fusion between  ...  We have developed an efficient and robust superresolution algorithm for application to small UAS surveillance video that is based on a coarse-to-fine strategy.  ...  This chapter is distributed under the terms of the Creative Commons Attribution-NonCommercial-ShareAlike-3.0 License, which permits use, distribution and reproduction for non-commercial purposes, provided  ... 
doi:10.5772/9978 fatcat:grlrv4no7nefvdiowxv2pi7fq4

Superresolution imaging with optical fluctuation using speckle patterns illumination

MinKwan Kim, ChungHyun Park, Christophe Rodriguez, YongKeun Park, Yong-Hoon Cho
2015 Scientific Reports  
However, the application of these methods has been limited to samples labeled with fluorophores that can exhibit intrinsic emission properties at a restricted timescale, especially stochastic blinking.  ...  Here, we present a superresolution method that can be performed using general fluorophores, regardless of this intrinsic property.  ...  Among them, superresolution methods including photo-activated localization microscopy (PALM) [10] [11] [12] and stochastic optical reconstruction microscopy (STORM) 13, 14 , using the emission properties  ... 
doi:10.1038/srep16525 pmid:26572283 pmcid:PMC4648106 fatcat:wwiymurtvjfp3brbnzcifujmle

High-resolution fluorescence microscopy using three-dimensional structured illumination

P. F. Gardeazabal Rodriguez, P. Blandin, I. Maksimovic, E, Sepulveda, E. Muro, B. Dubertret, V. Loriette, Paul J. Campagnola, Ernst H. K. Stelzer, Gert von Bally
2009 Advanced Microscopy Techniques  
This setup enables both lateral resolution improvement by a factor two and axial localization of point like objects with nanometric precision.  ...  We developed a high-resolution microscope based on three-dimensional structured illumination generated with two spatial light modulators.  ...  As an advantage, the axial localization being independent on the PSF shape, it will be independent on the axial position of the object under the microscope objective.  ... 
doi:10.1117/12.831477 fatcat:t3lgdno64jefbd7nucxed5qeta

Limits on super-resolution and how to break them

S. Baker, T. Kanade
2002 IEEE Transactions on Pattern Analysis and Machine Intelligence  
We therefore propose an algorithm that learns recognition-based priors for specific classes of scenes, the use of which gives far better super-resolution results for both faces and text.  ...  We analyze the super-resolution reconstruction constraints.  ...  This result means that there are fundamental limits on traditional reconstruction-based super-resolution algorithms.  ... 
doi:10.1109/tpami.2002.1033210 fatcat:ryypc2fae5gizplvih4ocbalja

Analysis of Leaf Diseases using Learning Image Superresolution

Sanket B. Kasturiwala, Siddharth A. Ladhake Ladhake, C.U. Patil
2014 International Journal of Computer Applications Technology and Research  
Superresolution is a process of extracting higher details. The main objective of this paper is the study of patch based method for super-resolving low resolution of a leaf diseased image.  ...  The domain specific prior is incorporated into superresolution by the means of learning patch based estimation of missing high frequency details from infected leaf image.  ...  Nearly all SR reconstruction algorithms are based on the fundamental constraints that provide less useful information as the magnification factor increases also less computationally efficient to get more  ... 
doi:10.7753/ijcatr0305.1009 fatcat:ecvotuf5avf45g6b7cknkarwky

Development in the STORM

Daichi Kamiyama, Bo Huang
2012 Developmental Cell  
The other approach is based on stochastically switching individual fluorescent molecules between a fluorescent and a dark state, which was independently invented under the names of stochastic optical reconstruction  ...  A superresolution image is then reconstructed by determining the positions of individual activated fluorophores.  ... 
doi:10.1016/j.devcel.2012.10.003 pmid:23237944 pmcid:PMC3523271 fatcat:vvjhxjinnfcz5jkvys5prge3im

Superresolution microscopy for microbiology

Carla Coltharp, Jie Xiao
2012 Cellular Microbiology  
Here we describe the methodological concepts behind three major categories of super-resolution light microscopy: photoactivated localization microscopy (PALM) and stochastic optical reconstruction microscopy  ...  Because of the small sizes of bacterial cells, superresolution methods are particularly powerful and suitable for revealing details of cellular structures that are not resolvable under conventional fluorescence  ...  reconstruction algorithm (Annibale et al., 2011a,b) .  ... 
doi:10.1111/cmi.12024 pmid:22947061 pmcid:PMC3894611 fatcat:wrsq3gmywjgr5kyy2trw5zxjaa

High-numerical-aperture cryogenic light microscopy for increased precision of superresolution reconstructions

Marc Nahmani, Conor Lanahan, David DeRosier, Gina G. Turrigiano
2017 Proceedings of the National Academy of Sciences of the United States of America  
targets. superresolution | single molecule | localization microscopy | photoactivated localization microscopy | cryogenic microscopy S ingle-molecule localization-based microscopy (SMLM) techniques have  ...  Samples were optically coupled to the coverslip by a cryofluid that freezes below −150°C and does not boil at ambient temperature Significance The precision of localization-based superresolution microscopy  ...  targets. superresolution | single molecule | localization microscopy | photoactivated localization microscopy | cryogenic microscopy S ingle-molecule localization-based microscopy (SMLM) techniques have  ... 
doi:10.1073/pnas.1618206114 pmid:28348224 pmcid:PMC5393246 fatcat:q3fwn7ywpbb3nb2izpttkm4zby

Reconstruction of High-Resolution Tongue Volumes From MRI

Jonghye Woo, Emi Z. Murano, Maureen Stone, Jerry L. Prince
2012 IEEE Transactions on Biomedical Engineering  
This paper presents a method of superresolution volume reconstruction of the tongue that generates an isotropic image volume using the three orthogonal image volumes.  ...  The performance of the proposed method was demonstrated on 15 clinical datasets, preserving anatomical details and yielding superior results when compared with different reconstruction methods as visually  ...  Ying, Department of Radiology, Johns Hopkins University, for sharing brain data in their simulation study. They would also like to thank the reviewers for their helpful comments.  ... 
doi:10.1109/tbme.2012.2218246 pmid:23033324 pmcid:PMC3587717 fatcat:dyv2pkhypbgy5cjgs24e2wpph4

Optimal 3D single-molecule localization for superresolution microscopy with aberrations and engineered point spread functions

S. Quirin, S. R. P. Pavani, R. Piestun
2011 Proceedings of the National Academy of Sciences of the United States of America  
Photo-activation localization microscopy is a far-field superresolution imaging technique based on the localization of single molecules with subdiffraction limit precision.  ...  Known under acronyms such as PALM (photo-activated localization microscopy) or STORM (stochastic optical reconstruction microscopy), these techniques achieve superresolution by allowing only a sparse,  ...  Photo-activation localization microscopy is a far-field superresolution imaging technique based on the localization of single molecules with subdiffraction limit precision.  ... 
doi:10.1073/pnas.1109011108 pmid:22210112 pmcid:PMC3271897 fatcat:sqpalmypofdjdd4cgovowvgjqy

Advances in superresolution optical fluctuation imaging (SOFI)

Thomas Dertinger, Alessia Pallaoro, Gary Braun, Sonny Ly, Ted A. Laurence, Shimon Weiss
2013 Quarterly Reviews of Biophysics (print)  
20 We review the concept of Superresolution Optical Fluctuation Imaging (SOFI), discuss its attributes and 21 trade-offs (in comparison to other superresolution methods), and present superresolved images  ...  We also 23 discuss the prospects of SOFI for live cell superresolution imaging and for imaging with other (non-24 fluorescent) contrasts. 25 26  ...  Once the general idea took hold that the classical 57 resolution limit can be broken, a whole suite of alternative superresolution techniques rapidly evolved, 58 which were, however, all based on the very  ... 
doi:10.1017/s0033583513000036 pmid:23672771 pmcid:PMC3747630 fatcat:bqrm55bmmvawxh35lhupqfaumm

Light field superresolution

Tom E. Bishop, Sara Zanetti, Paolo Favaro
2009 2009 IEEE International Conference on Computational Photography (ICCP)  
We formulate this method in a variational Bayesian framework and perform the reconstruction of both the surface of the scene and the (superresolved) light field.  ...  However, by explicitly modeling the image formation process and incorporating priors such as Lambertianity and texture statistics, these types of images can be reconstructed at a higher resolution.  ...  [26] propose a method for recovering light fields for the purpose of rendering, based on combining the band-limited reconstruction in [7] with the wide-aperture reconstruction of [15] .  ... 
doi:10.1109/iccphot.2009.5559010 fatcat:poppc7rhavbl3htqjwlg25hlki
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