Littérature scientifique sur le sujet « Reconstruction de pixel »
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Articles de revues sur le sujet "Reconstruction de pixel"
Rymarczyk, Tomasz, et Grzegorz Kłosowski. « Identification of moisture inside walls in buildings using machine learning and ensemble methods ». International Journal of Applied Electromagnetics and Mechanics 69, no 3 (5 juillet 2022) : 375–88. http://dx.doi.org/10.3233/jae-210176.
Texte intégralMantripragada, Kiran, Phuong D. Dao, Yuhong He et Faisal Z. Qureshi. « The effects of spectral dimensionality reduction on hyperspectral pixel classification : A case study ». PLOS ONE 17, no 7 (14 juillet 2022) : e0269174. http://dx.doi.org/10.1371/journal.pone.0269174.
Texte intégralHirata, Christopher M., et Christopher Merchant. « Pixel Centroid Characterization with Laser Speckle and Application to the Nancy Grace Roman Space Telescope Detector Arrays ». Publications of the Astronomical Society of the Pacific 134, no 1041 (1 novembre 2022) : 115001. http://dx.doi.org/10.1088/1538-3873/ac99fe.
Texte intégralAhmed, Ansari Vaqar, et Uday Pandit Khot. « An Efficient Motion Vector Recovery and Reconstruction Method for Spatiotemporal Video Error Concealment ». International Journal of Computer Vision and Image Processing 9, no 4 (octobre 2019) : 28–48. http://dx.doi.org/10.4018/ijcvip.2019100103.
Texte intégralIrum, Isma, Muhammad Sharif, Mussarat Yasmin, Mudassar Raza et Faisal Azam. « A Noise Adaptive Approach to Impulse Noise Detection and Reduction ». Nepal Journal of Science and Technology 15, no 1 (2 février 2015) : 67–76. http://dx.doi.org/10.3126/njst.v15i1.12016.
Texte intégralTian, Y., W. Zhou, Q. Wang, X. Niu, W. Han, H. Yang, H. Zhang, S. Liao, X. Li et C. Zhao. « A novel silicon pixel sensor for beam monitoring applications at heavy-ion accelerators ». Journal of Instrumentation 19, no 04 (1 avril 2024) : C04039. http://dx.doi.org/10.1088/1748-0221/19/04/c04039.
Texte intégralDiógenes, A. N., L. O. E. Dos Santos, C. P. Fernandes, A. C. Moreira et C. R. Apolloni. « POROUS MEDIA MICROSTRUCTURE RECONSTRUCTION USING PIXEL-BASED AND OBJECT-BASED SIMULATED ANNEALING – COMPARISON WITH OTHER RECONSTRUCTION METHODS ». Revista de Engenharia Térmica 8, no 2 (31 décembre 2009) : 35. http://dx.doi.org/10.5380/reterm.v8i2.61896.
Texte intégralFager, R. S., K. V. Peddanarappagari et G. N. Kumar. « Pixel-based reconstruction (PBR) promising simultaneous techniques for CT reconstructions ». IEEE Transactions on Medical Imaging 12, no 1 (mars 1993) : 4–9. http://dx.doi.org/10.1109/42.222660.
Texte intégralLi, L., L. Zhang, J. N. Dong, J. Liu et M. Wang. « Characterization of a CMOS pixel sensor for charged particle tracking ». Journal of Instrumentation 16, no 12 (1 décembre 2021) : P12016. http://dx.doi.org/10.1088/1748-0221/16/12/p12016.
Texte intégralWu, Wei, Luoqi Ge, Jiancheng Luo, Ruohong Huan et Yingpin Yang. « A Spectral–Temporal Patch-Based Missing Area Reconstruction for Time-Series Images ». Remote Sensing 10, no 10 (28 septembre 2018) : 1560. http://dx.doi.org/10.3390/rs10101560.
Texte intégralThèses sur le sujet "Reconstruction de pixel"
Liu, Yi Ph D. Massachusetts Institute of Technology. « Scanning-free compressive reconstruction of object motion with sub-pixel accuracy ». Thesis, Massachusetts Institute of Technology, 2012. http://hdl.handle.net/1721.1/74924.
Texte intégralCataloged from PDF version of thesis.
Includes bibliographical references (p. 55-57).
Sub-pixel movement detection is an under-sampling problem. The basic idea for successful detection is to spread out the information over a larger sampling region. Diffraction provides a natural way to spread out the information; however, conventional digital holographic methods are not effective for extracting sub-pixel accuracy. Here we show how to apply compressive reconstruction to the same problem effectively. Compressed sensing is a new framework to systematically find highly accurate solutions to an under-sampled linear system. To guarantee the accuracy of reconstruction result, compressed sensing requires that the unknown has to be sparse in some predetermined basis. In our study, for the one dimensional sub-pixel movement detection, we propose to use the derivative operator as the sparsifying basis. We implemented the derivative operator to the hologram and applied a sparsity constraint on the object derivative space for compressive holography. Together with spectrum domain zero-padding, our compressive algorithm allows for sub-pixel accuracy edge localization. The extension to the 2D case is not trivial. It has been shown that the spiral phase mask can serve as an approximate 2D derivative operator in the Fourier domain. In this case, we implemented spiral phase filtering in the hologram spectrum domain. By applying cross-correlation between reconstructions for consecutive subpixel movements, sub-pixel movement was successfully detected.
by Yi Liu.
S.M.
Kawahara, Ryo. « A Novel Catadioptric Ray-Pixel Camera Model and its Application to 3D Reconstruction ». Kyoto University, 2019. http://hdl.handle.net/2433/242435.
Texte intégralOja, Martin, et Sebastian Olsson. « Stand-alone Dual Sensing Single Pixel Camera in SWIR ». Thesis, Linköpings universitet, Fysik och elektroteknik, 2019. http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-158206.
Texte intégralReidel, Claire-Anne. « Applications for CMOS pixel sensors in ion-beam therapy ». Thesis, Strasbourg, 2020. https://publication-theses.unistra.fr/public/theses_doctorat/2020/REIDEL_Claire-Anne_2020_ED182.pdf.
Texte intégralIn ion-beam therapy, high precision measurements are essential for having robust basic data to deliver the prescribed treatment to the patient. In this study, MIMOSA-28 pixel sensors were used as a tracker system for different medical applications. Several hardware and software improvements were implemented leading to a spatial track resolution < 10 μm. The experiments were conducted with success in different medical and research facilities. In this work, beam profiles were measured along the beam axis and the width of the beam along the axis could be calculated with a transportation code based on multiple Coulomb scattering. Moreover, an online beam monitoring was developed in order to have fast information about the beam profile. In another study, the fluence perturbation of 12C ion beams due to small fiducial markers was investigated. After reconstruction and extrapolation of single track, a 3D fluence distribution could be performed and the maximum perturbation and its position along the beam axis could be quantified. In this work, the measured cold spot varied between less than 3% up to 9.2% for a defined marker and a defined primary energy beam
Benitez, Mendieta Jessica. « An efficient and semiautomatic segmentation method for 3D surface reconstruction of the lumbar spine from Magnetic Resonance Imaging (MRI) ». Thesis, Queensland University of Technology, 2016. https://eprints.qut.edu.au/101274/1/Jessica_Benitez%20Mendieta_Thesis.pdf.
Texte intégralDelestre, Barbara. « Reconstruction 3D de particules dans un écoulement par imagerie interférométrique ». Electronic Thesis or Diss., Normandie, 2022. http://www.theses.fr/2022NORMR116.
Texte intégralFor many industrial or environmental applications, it is important to measure the size and volume of irregularly shaped particles. This is for example the case in the context of aircraft icing which occurs during flights, where it is necessary to measure in situ the water content and the ice content in the troposphere in order to detect and avoid risk areas. Our interest has been on interferometric out-of-focus imaging, an optical technique offering many advantages (wide measurement field, extended range of sizes studied [50 μm: a few millimeters], distance particle / measuring device several tens of centimeters ...). During this thesis, we showed that the 3D reconstruction of a particle can be done from a set of three interferometric images of this particle (under three perpendicular viewing angles). This can be done using the error reduction (ER) algorithm which allows to obtain the function f(x,y) from the measurements of the modulus of its 2D Fourier transform |F(u,v)| , by reconstructing the phase of its 2D Fourier transform. The implementation of this algorithm allowed us to reconstruct the shape of irregular particles from their interferometric images. Experimental demonstrations were carried out using a specific assembly based on the use of a micro-mirror array (DMD) which generates the interferometric images of programmable rough particles. The results obtained are very encouraging. The volumes obtained remain quite close to the real volume of the particle and the reconstructed 3D shapes give us a good idea of the general shape of the particle studied even in the most extreme cases where the orientation of the particle is arbitrary. Finally, we showed that an accurate 3D reconstruction of a "programmed" rough particle can be performed from a set of 120 interferometric images
Rebiere, Valentin. « Image processing for a RGB-Z mixed matrix ». Electronic Thesis or Diss., Sorbonne université, 2021. http://www.theses.fr/2021SORUS468.
Texte intégralA Red, Green, Blue and Depth (RGB-Z) system is a vision system-on-chip (V-SoC) that captures both color and depth information. Recently, the idea of combining color and depth acquisition at the pixel level and in the same array has emerged. Such a sensor would allow a more compact integration while reducing the calibration problems compared to a system composed of two sensors. However, such integration raises new constraints at different technical levels. In this thesis, we focus on the problems of reconstructing the missing color information due to the heterogeneity of the pixel matrix. Currently, there is no monolithic RGB-Z sensor on the market as described in the thesis. In a first step, we have proposed different RGB-Z arrays. These arrays are based on two different Z-pixel architectures. The sampling and the size of the Z pixels vary according to the proposed matrices. In a second step, several algorithms for reconstructing the missing information inspired by the state of the art have been adapted and implemented to the proposed matrices. These solutions are not satisfactory. For this purpose, an adaptive algorithm to reconstruct the missing color information using a new operator called semi-gradient is proposed. This operator allows to better reconstruct the structures located along the narrow edges. Finally, a first hardware implementation is proposed to evaluate the latency of the algorithm
Nguyen, Duy Thuy. « Développement d'algorithmes de reconstruction tomographique pour l'analyse PIXE d'échantillons biologiques ». Phd thesis, Université Sciences et Technologies - Bordeaux I, 2008. http://tel.archives-ouvertes.fr/tel-00404564.
Texte intégralCasas, Guido Eda Leslie Mónica. « 3D reconstruction of chronic wounds using a hand-held camcorder and its application in cutaneous leishmaniasis wounds ». Master's thesis, Pontificia Universidad Católica del Perú, 2015. http://tesis.pucp.edu.pe/repositorio/handle/123456789/8135.
Texte intégralTesis
Nawaf, Mohamad Motasem. « 3D structure estimation from image stream in urban environment ». Thesis, Saint-Etienne, 2014. http://www.theses.fr/2014STET4024/document.
Texte intégralIn computer vision, the 3D structure estimation from 2D images remains a fundamental problem. One of the emergent applications is 3D urban modelling and mapping. Here, we are interested in street-level monocular 3D reconstruction from mobile vehicle. In this particular case, several challenges arise at different stages of the 3D reconstruction pipeline. Mainly, lacking textured areas in urban scenes produces low density reconstructed point cloud. Also, the continuous motion of the vehicle prevents having redundant views of the scene with short feature points lifetime. In this context, we adopt the piecewise planar 3D reconstruction where the planarity assumption overcomes the aforementioned challenges.In this thesis, we introduce several improvements to the 3D structure estimation pipeline. In particular, the planar piecewise scene representation and modelling. First, we propose a novel approach that aims at creating 3D geometry respecting superpixel segmentation, which is a gradient-based boundary probability estimation by fusing colour and flow information using weighted multi-layered model. A pixel-wise weighting is used in the fusion process which takes into account the uncertainty of the computed flow. This method produces non-constrained superpixels in terms of size and shape. For the applications that imply a constrained size superpixels, such as 3D reconstruction from an image sequence, we develop a flow based SLIC method to produce superpixels that are adapted to reconstructed points density for better planar structure fitting. This is achieved by the mean of new distance measure that takes into account an input density map, in addition to the flow and spatial information. To increase the density of the reconstructed point cloud used to performthe planar structure fitting, we propose a new approach that uses several matching methods and dense optical flow. A weighting scheme assigns a learned weight to each reconstructed point to control its impact to fitting the structure relative to the accuracy of the used matching method. Then, a weighted total least square model uses the reconstructed points and learned weights to fit a planar structure with the help of superpixel segmentation of the input image sequence. Moreover, themodel handles the occlusion boundaries between neighbouring scene patches to encourage connectivity and co-planarity to produce more realistic models. The final output is a complete dense visually appealing 3Dmodels. The validity of the proposed approaches has been substantiated by comprehensive experiments and comparisons with state-of-the-art methods
Livres sur le sujet "Reconstruction de pixel"
Jähne, Bernd. Digital image processing : Concepts, algorithms, and scientific applications. Berlin : Springer-Verlag, 1991.
Trouver le texte intégralDigital image processing. 6e éd. Berlin : Springer, 2005.
Trouver le texte intégralDigital image processing : Concepts, algorithms, and scientific applications. 4e éd. Berlin : Springer, 1997.
Trouver le texte intégralJähne, Bernd. Digital image processing : Concepts, algorithms, and scientific applications. 3e éd. Berlin : Springer-Verlag, 1995.
Trouver le texte intégralJähne, Bernd. Digital image processing : Concepts, algorithms, and scientific applications. 2e éd. Berlin : Springer-Verlag, 1993.
Trouver le texte intégralChapitres de livres sur le sujet "Reconstruction de pixel"
Green, A. R., F. Lei, A. J. Bird, I. D. Jupp et A. J. Dean. « Incident Pixel Reconstruction for Gamma Ray Telescopes ». Dans Imaging in High Energy Astronomy, 235–38. Dordrecht : Springer Netherlands, 1995. http://dx.doi.org/10.1007/978-94-011-0407-4_34.
Texte intégralYaguchi, Yuichi, Kenta Iseki, Nguyen Tien Viet et Ryuichi Oka. « 3D Object Reconstruction Using Full Pixel Matching ». Dans Computer Analysis of Images and Patterns, 873–80. Berlin, Heidelberg : Springer Berlin Heidelberg, 2009. http://dx.doi.org/10.1007/978-3-642-03767-2_106.
Texte intégralBurger, Martin, Janic Föcke, Lukas Nickel, Peter Jung et Sven Augustin. « Reconstruction Methods in THz Single-Pixel Imaging ». Dans Applied and Numerical Harmonic Analysis, 263–90. Cham : Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-319-73074-5_9.
Texte intégralRodríguez, Marc, Gaëlle Largeteau-Skapin et Eric Andres. « Adaptive Pixel Resizing for Multiscale Recognition and Reconstruction ». Dans Lecture Notes in Computer Science, 252–65. Berlin, Heidelberg : Springer Berlin Heidelberg, 2009. http://dx.doi.org/10.1007/978-3-642-10210-3_20.
Texte intégralVami, Tamas Almos, et Viktor Veszpremi. « Study of the CMS Phase 1 Pixel Pilot Blade Reconstruction ». Dans Springer Proceedings in Physics, 366–69. Singapore : Springer Singapore, 2018. http://dx.doi.org/10.1007/978-981-13-1316-5_68.
Texte intégralSchneider, Christian, Maximilian Meyer et Tim Kunz. « Automotive 3D reconstruction based on multi-pixel LED headlight systems ». Dans Proceedings, 85–112. Wiesbaden : Springer Fachmedien Wiesbaden, 2017. http://dx.doi.org/10.1007/978-3-658-19059-0_6.
Texte intégralHuang, Hong, Xingyang Li et Wenjian He. « Pixel-Wise Reconstruction of Private Data in Split Federated Learning ». Dans Information and Communications Security, 435–50. Singapore : Springer Nature Singapore, 2023. http://dx.doi.org/10.1007/978-981-99-7356-9_26.
Texte intégralChan, Kennard Yanting, Guosheng Lin, Haiyu Zhao et Weisi Lin. « IntegratedPIFu : Integrated Pixel Aligned Implicit Function for Single-View Human Reconstruction ». Dans Lecture Notes in Computer Science, 328–44. Cham : Springer Nature Switzerland, 2022. http://dx.doi.org/10.1007/978-3-031-20086-1_19.
Texte intégralHuang, Linjie, Zhe Zhang, Shaohua Wu et Junjun Xiao. « Improved Video Reconstruction Basing on Single-Pixel Camera By Dual-Fiber Collecting ». Dans Lecture Notes in Electrical Engineering, 90–97. Singapore : Springer Singapore, 2019. http://dx.doi.org/10.1007/978-981-13-6504-1_12.
Texte intégralDolveck-Guilpart, B. « Tomographic Image Reconstruction from a Limited Set of Projections Using a Natural Pixel Decomposition ». Dans Inverse Problems and Theoretical Imaging, 54–61. Berlin, Heidelberg : Springer Berlin Heidelberg, 1990. http://dx.doi.org/10.1007/978-3-642-75298-8_7.
Texte intégralActes de conférences sur le sujet "Reconstruction de pixel"
Childers, Taylor, Matti Kortelainen, Martin Kwok, Alexei Strelchenko et Yunsong Wang. « Porting CMS Heterogeneous Pixel Reconstruction to Kokkos ». Dans Porting CMS Heterogeneous Pixel Reconstruction to Kokkos. US DOE, 2021. http://dx.doi.org/10.2172/1827400.
Texte intégralGabaldon, Charris, Savannah L. Cuozzo, Pratik J. Barge, Ziqi Niu, Hwang Lee, Lior Cohen, Irina Novikova et Eugeniy E. Mikhailov. « Single-pixel Imaging with Full Wavefront Reconstruction via Homodyne Detection ». Dans Frontiers in Optics. Washington, D.C. : Optica Publishing Group, 2022. http://dx.doi.org/10.1364/fio.2022.jw5a.71.
Texte intégralAndriotis, N., A. Bocci, E. Cano, L. Cappelli, M. Dewing, T. Di Pilato, J. Esseiva et al. « Evaluating Performance Portability with the CMS Heterogeneous Pixel Reconstruction code ». Dans Evaluating Performance Portability with the CMS Heterogeneous Pixel Reconstruction code. US DOE, 2023. http://dx.doi.org/10.2172/1973419.
Texte intégralKwok, Martin, et Matti Kortelainen. « Performance of CUDA Unified Memory in CMS Heterogeneous Pixel Reconstruction ». Dans Performance of CUDA Unified Memory in CMS Heterogeneous Pixel Reconstruction. US DOE, 2021. http://dx.doi.org/10.2172/1827369.
Texte intégralFrieden, B. Roy, et Hartmut H. G. Aumann. « Image reconstruction from a staggered array using filtered localized projection ». Dans OSA Annual Meeting. Washington, D.C. : Optica Publishing Group, 1986. http://dx.doi.org/10.1364/oam.1986.mr5.
Texte intégralFursich, Benjamin, Richard Bamler, Sven Augustin, Heinz-Wilhelm Hubers et Xiao Xiang Zhu. « Towards single-pixel FMCW radar reconstruction ». Dans 2016 4th International Workshop on Compressed Sensing Theory and its Applications to Radar, Sonar and Remote Sensing (CoSeRa). IEEE, 2016. http://dx.doi.org/10.1109/cosera.2016.7745707.
Texte intégralPatra, S. K., J. Saibaba, Geeta Varadan et S. K. Nayak. « A technique for spectral pixel reconstruction ». Dans IGARSS 2011 - 2011 IEEE International Geoscience and Remote Sensing Symposium. IEEE, 2011. http://dx.doi.org/10.1109/igarss.2011.6049795.
Texte intégralJu, Yakun, Kin-Man Lam, Yang Chen, Lin Qi et Junyu Dong. « Pay Attention to Devils : A Photometric Stereo Network for Better Details ». Dans Twenty-Ninth International Joint Conference on Artificial Intelligence and Seventeenth Pacific Rim International Conference on Artificial Intelligence {IJCAI-PRICAI-20}. California : International Joint Conferences on Artificial Intelligence Organization, 2020. http://dx.doi.org/10.24963/ijcai.2020/97.
Texte intégralHigashida, Ryo, Mayumi Kawana, Ken-ichi Aoshima et Nobuhiko Funabashi. « Holographic Display Using Magneto-optical Spatial Light Modulator with 50-M pixels and 1-μm pixel pitch ». Dans 3D Image Acquisition and Display : Technology, Perception and Applications. Washington, D.C. : Optica Publishing Group, 2023. http://dx.doi.org/10.1364/3d.2023.jtu4a.47.
Texte intégralZhang, Liangpei, Xiong Xu, Jie Li, Huanfeng Shen, Yanfei Zhong et Xin Huang. « Research on image reconstruction based and pixel unmixing based sub-pixel mapping methods ». Dans IGARSS 2012 - 2012 IEEE International Geoscience and Remote Sensing Symposium. IEEE, 2012. http://dx.doi.org/10.1109/igarss.2012.6351985.
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