Bibliografías temáticas / Reconstruction de pixel

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Literatura académica sobre el tema "Reconstruction de pixel"

Autor: Grafiati
Publicado: 25 de mayo de 2024
Última modificación: 31 de julio de 2025

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Artículos de revistas sobre el tema "Reconstruction de pixel"

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Rymarczyk, Tomasz, and 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 (2022): 375–88. http://dx.doi.org/10.3233/jae-210176.

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According to the article, locating moisture within the walls of buildings using electrical impedance tomography is discussed in detail. The algorithmic approach, whose role is to convert the input measurements into images, received excellent attention during the development process. Numerous models have been trained to generate tomographic images based on individual pixels in a given image based on machine learning methods. An array of categorisation data was then generated, which enabled the development of a classification model to solve the problem of optimal model selection for a given poin
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Mantripragada, Kiran, Phuong D. Dao, Yuhong He, and Faisal Z. Qureshi. "The effects of spectral dimensionality reduction on hyperspectral pixel classification: A case study." PLOS ONE 17, no. 7 (2022): e0269174. http://dx.doi.org/10.1371/journal.pone.0269174.

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This paper presents a systematic study of the effects of hyperspectral pixel dimensionality reduction on the pixel classification task. We use five dimensionality reduction methods—PCA, KPCA, ICA, AE, and DAE—to compress 301-dimensional hyperspectral pixels. Compressed pixels are subsequently used to perform pixel classifications. Pixel classification accuracies together with compression method, compression rates, and reconstruction errors provide a new lens to study the suitability of a compression method for the task of pixel classification. We use three high-resolution hyperspectral image d
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Yuri, Hercilia Mejía-Melgarejo, Patricia Villarreal-Dulcey Ofelia, and Arguello-Fuentes Henry. "Adjustable spatial resolution of compressive spectral images sensed by multispectral filter array-based sensors." Revista Facultad de Ingeniería –redin-, no. 78 (March 19, 2016): 89–98. https://doi.org/10.17533/udea.redin.n78a12.

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Spectral imaging systems capture spectral and spatial information from a scene to produce a spectral data cube. Technical progress has allowed developing multispectral filter array (MSFA)-based sensors in order to expand the reconstruction of more bands than RGB cameras. However, reconstructing the spectral image with traditional methods following a least squares or demosaicing approach is unfeasible. Some works in the literature implement multispectral demosaicing for reconstructing images with specific spatio-spectral resolution depending on the number of pixels in the detector and the filte
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Hirata, Christopher M., and 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 (2022): 115001. http://dx.doi.org/10.1088/1538-3873/ac99fe.

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Abstract The Nancy Grace Roman Space Telescope will use its wide-field instrument to carry out a suite of sky surveys in the near-infrared. Several of the science objectives of these surveys, such as the measurement of the growth of cosmic structure using weak gravitational lensing, require exquisite control of instrument-related distortions of the images of astronomical objects. Roman will fly new large-format (4 × 4 k) Teledyne H4RG-10 infrared detector arrays. This paper investigates whether the pixel centroids are located on a regular grid by projecting laser speckle patterns through a dou
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Ahmed, Ansari Vaqar, and 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 (2019): 28–48. http://dx.doi.org/10.4018/ijcvip.2019100103.

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In this article, an efficient spatiotemporal video error concealment (EC) based on motion vector (MV) recovery and a pixel reconstruction (PR) method is proposed. The pixel-based motion vector with partition (PMVP) is modified by using Mahalanobis distance (MD) rather than Euclidean distance (ED) for recovering MVs, as MD uses standard deviation and covariance of available pixels. Further, the MD gives more accuracy for non-square cluster compared to ED. This modified pixel-based motion vector with partition (MPMVP) algorithm is further upgrade by two different strategies. First, by using voti
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6

Alanazi, Turki M., and Paolo Mercorelli. "Precision Denoising in Medical Imaging via Generative Adversarial Network-Aided Low-Noise Discriminator Technique." Mathematics 12, no. 23 (2024): 3705. http://dx.doi.org/10.3390/math12233705.

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Medical imaging is significant for accurate diagnosis, and here, noise often degrades image quality, thus making it challenging to identify important information. Denoising is a component of traditional image pre-processing that helps prevent incorrect disease diagnosis. Mitigating the noise becomes difficult if there are differences in the low-level segment features. Therefore, a Generative Adversarial Network (GAN)-aided Low-Noise Discriminator (LND) is introduced to improve the denoising effectiveness in medical images with a balanced image resolution with noise mitigation. The LND function
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Irum, Isma, Muhammad Sharif, Mussarat Yasmin, Mudassar Raza, and Faisal Azam. "A Noise Adaptive Approach to Impulse Noise Detection and Reduction." Nepal Journal of Science and Technology 15, no. 1 (2015): 67–76. http://dx.doi.org/10.3126/njst.v15i1.12016.

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A noise adaptive filter has been proposed in this study aiming to estimate the original image pixel values in the presence of impulse noise in monochromatic images. The proposed filter approach is noise adaptive that as the percentage of noise density increases in the image, the size of neighborhood in filtering window is also increased. Proposed approach comprises of two stages, one is impulse noise detection and the other is impulse noise reduction or cancellation. First stage is based on median and mean distance and thresholding whereas the second stage is based on reconstruction of the ima
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Tian, Y., W. Zhou, Q. Wang, et al. "A novel silicon pixel sensor for beam monitoring applications at heavy-ion accelerators." Journal of Instrumentation 19, no. 04 (2024): C04039. http://dx.doi.org/10.1088/1748-0221/19/04/c04039.

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Abstract This paper describes a silicon pixel sensor for non-interceptive real-time beam monitoring at heavy-ion accelerators. The total size of the sensor is 4 mm × 5 mm. It has 64 (row) × 120 (column) square pixels, each single of which is in the size of 40 μm × 40 μm. With the exposed sensing pad, this sensor can directly collect the charge in the media over the pixels. The in-pixel circuit mainly consists of a low-noise Charge Sensitive Amplifier (CSA) to establish the signal for the energy reconstruction and a discriminator with a Time-to-Amplitude Converter (TAC) for the Time of Arrival
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Šperl, Ondřej, and Jan Sýkora. "Reconstruction of concrete morphology using deep learning." Acta Polytechnica CTU Proceedings 49 (November 21, 2024): 85–91. https://doi.org/10.14311/app.2024.49.0085.

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In this contribution, the concrete morphology is reconstructed with a simple algorithm selecting a pixel value based on the small set of surrounding pixels. A deep neural network (DNN) is used as a classifier, and the authors focus on studying different DNN architectures. The performance of the proposed algorithm is evaluated on several statistical descriptors and the grain size distributioncurve.
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Diógenes, A. N., L. O. E. Dos Santos, C. P. Fernandes, A. C. Moreira, and 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 (2009): 35. http://dx.doi.org/10.5380/reterm.v8i2.61896.

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In this contribution the issue of the stochastic reconstruction of particulatemedia from 2D photomicrographic images is addressed with particular reference to pore space connectivity. The reconstruction of porous bodies in 2D or 3D space was achieved by using simulated annealing techniques. Two methods were proposed to reconstruct a well connected pore space. The first, named PSA (Pixel-based Simulated Annealing), a pixel-movement based, three constraints were found to be necessary for the successful reconstruction of well connected pore space: the two-pointcorrelation function, the d3-4 dista
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Tesis sobre el tema "Reconstruction de pixel"

1

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.

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Thesis (S.M.)--Massachusetts Institute of Technology, Dept. of Mechanical Engineering, 2012.<br>Cataloged from PDF version of thesis.<br>Includes bibliographical references (p. 55-57).<br>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 effecti
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2

Kawahara, Ryo. "A Novel Catadioptric Ray-Pixel Camera Model and its Application to 3D Reconstruction." Kyoto University, 2019. http://hdl.handle.net/2433/242435.

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Oja, Martin, and 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.

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A Single pixel camera is just that, a camera that uses only a single pixel to take images. Though, it is a bit more to it than just a pixel. It requires several components which will be explained in the thesis. For it to be viable it also needs the sampling technology Compressive sensing which compresses the data in the sampling stage, thus reducing the amount of data required to be sampled in order to reconstruct an image. This thesis will present the method of building an SPC with the required hardware and software. Different types of experiments, such as detection of small changes in a scen
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Reidel, 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.

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En hadronthérapie, des mesures de haute précision sont essentielles pour avoir une base de données robuste et délivrer le traitement prescrit au patient. Dans ce travail, un système de trajectométrie, composé de capteurs à pixels MIMOSA-28, a été utilisé pour différentes applications cliniques. Plusieurs améliorations ont été implémentées au niveau matériel et logiciel résultant à une résolution spatiale de trace &lt; 10 μm. Les expériences ont été menées avec succès dans différents centres médicaux et de recherche. Les profils de faisceaux ont été mesurés et la largeur du faisceau le long de
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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.

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A new semiautomatic technique for the segmentation and reconstruction of 3D vertebral anatomy from MRI is presented where five cadaveric human lumbar spines and one ovine spine were used. The MR images were subjected to contrast enhancement, anisotropic diffusion filtering, and thresholding was selected as the preferable segmentation technique to create 3D surfaces from the MRI datasets. The reconstructions were manually cleaned using commercial software. The resulting reconstructed surface included discrete vertebral bodies with distinct separation between the spinous processes. CT reconstruc
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Delestre, Barbara. "Reconstruction 3D de particules dans un écoulement par imagerie interférométrique." Electronic Thesis or Diss., Normandie, 2022. http://www.theses.fr/2022NORMR116.

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Pour de nombreuses applications industrielles ou environnementales, il est important de mesurer la taille et le volume de particules de formes irrégulières. C'est par exemple le cas dans le cadre du givrage des aéronefs qui se produit durant les vols, où il est nécessaire de mesurer in-situ la teneur en eau et la teneur en glace dans la troposphère afin de détecter et d’éviter les zones à risques. Notre intérêt s’est porté sur l’imagerie interférométrique en défaut de mise au point, une technique optique offrant de nombreux avantages (large champ de mesure, gamme de tailles étudiée étendue [50
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Rebiere, Valentin. "Image processing for a RGB-Z mixed matrix." Electronic Thesis or Diss., Sorbonne université, 2021. http://www.theses.fr/2021SORUS468.

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Un système RGB-Z est un système de vision sur puce (V-SoC) qui capture à la fois les informations de couleur et de profondeur. Récemment, l’idée de combiner l’acquisition de la couleur et de la profondeur au niveau du pixel et dans la même matrice a émergé. Un tel capteur permettrait une intégration plus compacte tout en réduisant les problèmes de calibration par rapport à un système composés de deux capteurs. Cependant, une telle intégration soulève de nouvelles contraintes à différent niveaux techniques. Dans cette thèse, nous nous focalisons sur les problèmes de reconstruction de l'informat
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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.

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Le développement des techniques de microscopie 3D offrant une résolution spatiale de l'ordre du micromètre a ouvert un large champ de recherche en biologie cellulaire. Parmi elles, un avantage intéressant de la micro-tomographie par faisceau d'ions est de donner des résultats quantitatifs en termes de concentrations locales d'une manière directe, en utilisant une technique d'émission de rayonnement X (PIXET) combinée à la microscopie ionique en transmission (STIMT). Le traitement des données expérimentales constitue un point délicat. Après une brève introduction aux techniques de reconstructio
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Casas, 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.

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Chronic wounds are a major healthcare problem worldwide which mainly a ects geriatric population and patients with limited mobility. In tropical countries, Cutaneous Leishmaniasis (CL) is also a cause for chronic wounds, being endemic in 75% of Peru . In this context, the assessment of these type of wounds represents a big challenge due to the limited access to specialized medical resources. This work aims to develop a video-based method to compute the 3D point cloud of skin wounds which could provide accurate metrics for medical assessment despite of the location of the patient. Recent
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Nawaf, Mohamad Motasem. "3D structure estimation from image stream in urban environment." Thesis, Saint-Etienne, 2014. http://www.theses.fr/2014STET4024/document.

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Dans le domaine de la vision par ordinateur, l’estimation de la structure d’une scène 3D à partir d’images 2D constitue un problème fondamental. Parmi les applications concernées par cette problématique, nous nous sommes intéressés dans le cadre de cette thèse à la modélisation d’un environnement urbain. Nous nous sommes intéressés à la reconstruction de scènes 3D à partir d’images monoculaires générées par un véhicule en mouvement. Ici, plusieurs défis se posent à travers les différentes étapes de la chaine de traitement inhérente à la reconstruction 3D. L’un de ces défis vient du fait de l’a
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Libros sobre el tema "Reconstruction de pixel"

1

Jähne, Bernd. Digital image processing: Concepts, algorithms, and scientific applications. Springer-Verlag, 1991.

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Jähne, Bernd. Digital image processing: Concepts, algorithms, and scientific applications. 3rd ed. Springer-Verlag, 1995.

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Jähne, Bernd. Digital image processing: Concepts, algorithms, and scientific applications. 2nd ed. Springer-Verlag, 1993.

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Capítulos de libros sobre el tema "Reconstruction de pixel"

1

Green, A. R., F. Lei, A. J. Bird, I. D. Jupp, and A. J. Dean. "Incident Pixel Reconstruction for Gamma Ray Telescopes." In Imaging in High Energy Astronomy. Springer Netherlands, 1995. http://dx.doi.org/10.1007/978-94-011-0407-4_34.

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Yaguchi, Yuichi, Kenta Iseki, Nguyen Tien Viet, and Ryuichi Oka. "3D Object Reconstruction Using Full Pixel Matching." In Computer Analysis of Images and Patterns. Springer Berlin Heidelberg, 2009. http://dx.doi.org/10.1007/978-3-642-03767-2_106.

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Burger, Martin, Janic Föcke, Lukas Nickel, Peter Jung, and Sven Augustin. "Reconstruction Methods in THz Single-Pixel Imaging." In Applied and Numerical Harmonic Analysis. Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-319-73074-5_9.

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Rodríguez, Marc, Gaëlle Largeteau-Skapin, and Eric Andres. "Adaptive Pixel Resizing for Multiscale Recognition and Reconstruction." In Lecture Notes in Computer Science. Springer Berlin Heidelberg, 2009. http://dx.doi.org/10.1007/978-3-642-10210-3_20.

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Vami, Tamas Almos, and Viktor Veszpremi. "Study of the CMS Phase 1 Pixel Pilot Blade Reconstruction." In Springer Proceedings in Physics. Springer Singapore, 2018. http://dx.doi.org/10.1007/978-981-13-1316-5_68.

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Schneider, Christian, Maximilian Meyer, and Tim Kunz. "Automotive 3D reconstruction based on multi-pixel LED headlight systems." In Proceedings. Springer Fachmedien Wiesbaden, 2017. http://dx.doi.org/10.1007/978-3-658-19059-0_6.

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Muttagi, Shreedhar I., Vaishnavi Patil, Pooja P. Babar, et al. "3D Avatar Reconstruction Using Multi-level Pixel-Aligned Implicit Function." In Lecture Notes in Networks and Systems. Springer Nature Singapore, 2024. http://dx.doi.org/10.1007/978-981-99-9442-7_20.

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Huang, Hong, Xingyang Li, and Wenjian He. "Pixel-Wise Reconstruction of Private Data in Split Federated Learning." In Information and Communications Security. Springer Nature Singapore, 2023. http://dx.doi.org/10.1007/978-981-99-7356-9_26.

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Chan, Kennard Yanting, Guosheng Lin, Haiyu Zhao, and Weisi Lin. "IntegratedPIFu: Integrated Pixel Aligned Implicit Function for Single-View Human Reconstruction." In Lecture Notes in Computer Science. Springer Nature Switzerland, 2022. http://dx.doi.org/10.1007/978-3-031-20086-1_19.

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Huang, Linjie, Zhe Zhang, Shaohua Wu, and Junjun Xiao. "Improved Video Reconstruction Basing on Single-Pixel Camera By Dual-Fiber Collecting." In Lecture Notes in Electrical Engineering. Springer Singapore, 2019. http://dx.doi.org/10.1007/978-981-13-6504-1_12.

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Actas de conferencias sobre el tema "Reconstruction de pixel"

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Dam, Phuong Anh, Hoang Nhut Huynh, Tan Loc Huynh, et al. "3D Reconstruction of Veins Using NIR by Efficientnet Model." In JSAP-Optica Joint Symposia. Optica Publishing Group, 2024. https://doi.org/10.1364/jsapo.2024.17a_a31_1.

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The study proposed a method for visualizing veins using near-infrared (NIR) transillumination imaging and reconstructing 3D structures with an EfficientNet CNN mod-el and pixel-to-pixel technique. NIR imaging, despite being noninvasive, encounters issues with light scattering, resulting in blurry images with poor depth perception. The pro-posed method combines depth estimation and scatter deblurring to improve the clarity and accuracy of 3D reconstructions, specifically targeting veins on the back of the hand.
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Hariga, Séréna, Jérémy E. Cohen, and Nicolas Ducros. "Joint Reconstruction and Spectral Unmixing from Single-Pixel Acquisitions." In 2024 32nd European Signal Processing Conference (EUSIPCO). IEEE, 2024. http://dx.doi.org/10.23919/eusipco63174.2024.10715454.

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Du, Yuping, Tongyu Liu, and Yanyan Liu. "Sub-pixel image registration method based on super-resolution reconstruction." In Laser Technology and Applications, edited by Pu Zhou. SPIE, 2024. https://doi.org/10.1117/12.3046098.

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Wang, Zeqi, Yutang Wang, Jian Chen, and Dapeng Tian. "Pixel reconstruction based optical transmission simulation method in hypersonic environment." In Environmental Effects on Light Propagation and Adaptive Systems VII, edited by Karin Stein and Szymon Gladysz. SPIE, 2024. http://dx.doi.org/10.1117/12.3031417.

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Li, Yulong, and Ping Su. "Lensless on-chip super-resolution microscopy based on array illumination and phase recovery algorithm." In Digital Holography and Three-Dimensional Imaging. Optica Publishing Group, 2024. http://dx.doi.org/10.1364/dh.2024.m2b.6.

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We present a lensless on chip microscopy system based on array illumination and a super-resolution reconstruction algorithm based on sub-pixel displacement, the resolution of which breaks through the limitation of pixel size.
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Liu, Yifei, Weizhi Song, You Zhou, Bo Xiong, and Xun Cao. "Hybrid Scanning Lensless Imaging by Diffractive Neural Field." In Computational Optical Sensing and Imaging. Optica Publishing Group, 2024. http://dx.doi.org/10.1364/cosi.2024.cf1a.4.

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L.Priyadharshini, K.Niranjana, Deepak Sakthivel M.S, and M. Linto Mohan. "Pixel-Level Reconstruction of Noisy Underwater Images Using Advanced Deep Learning Models." In 2024 4th Asian Conference on Innovation in Technology (ASIANCON). IEEE, 2024. https://doi.org/10.1109/asiancon62057.2024.10837921.

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Wang, Haizhu, and Soo-Jin Lee. "Optimizing hyperparameters in regularized tomographic reconstruction via pixel-wise adaptive fine-tuning." In Physics of Medical Imaging, edited by John M. Sabol, Shiva Abbaszadeh, and Ke Li. SPIE, 2025. https://doi.org/10.1117/12.3046406.

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Childers, Taylor, Matti Kortelainen, Martin Kwok, Alexei Strelchenko, and Yunsong Wang. "Porting CMS Heterogeneous Pixel Reconstruction to Kokkos." In Porting CMS Heterogeneous Pixel Reconstruction to Kokkos. US DOE, 2021. http://dx.doi.org/10.2172/1827400.

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Gabaldon, Charris, Savannah L. Cuozzo, Pratik J. Barge, et al. "Single-pixel Imaging with Full Wavefront Reconstruction via Homodyne Detection." In Frontiers in Optics. Optica Publishing Group, 2022. http://dx.doi.org/10.1364/fio.2022.jw5a.71.

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We demonstrate the spatial transmission (amplitude and phase) map reconstructions of semi-transparent objects without a camera by recording interference traces of transmitted probe beams and structured references. No prior object information is needed for reconstruction.
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