Výsledky vyhledávání - denoising autoencoder optical images*

A Deep Convolutional Coupling Network for Change Detection Based on Heterogeneous Optical and Radar Images Autor Liu, Jia, Gong, Maoguo, Qin, Kai, Zhang, Puzhao

“…We propose an unsupervised deep convolutional coupling network for change detection based on two heterogeneous images acquired by optical sensors and radars on different dates…”
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Autoencoder Image Denoising to Increase Optical Character Recognition Performance in Text Conversion Autor Alamsyah, Nur, Fauzan, Mohamad Nurkamal, Putrada, Aji Gautama, Pane, Syafrial Fachri

“… Our research aims to build an autoencoder for denoising text images and evaluate the OCR's performance in converting the denoised image into text…”
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Research on Reconstruction Method of Occluded Micro-Expressions Based on Quantized Denoising Autoencoder Autor LIU Hui, GUO Te, LIU Dong, LI Yingying

“… in achieving precise texture reconstruction. In addition, the models used in such reconstruction methods often involve symmetric autoencoders based on U-Net and Generative Adversarial Networks (GAN…”
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Retinal Optical Coherence Tomography Image Denoising using Convolutional Autoencoder Autor Wahid, Md. Ferdous, Aowlad Hossain, A. B. M.

“… In this paper, we present convolutional autoencoder (CAE) architecture for denoising retinal OCT images that incorporates an encoder and a decoder…”
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Offline Urdu Nastaleeq Optical Character Recognition Based on Stacked Denoising Autoencoder Autor Ahmad, Ibrar, Wang, Xiaojie, Li, Ruifan, Rasheed, Shahid

“… Most of the prevalent Urdu Nastaleeq test recognition was trained and tested on small sets. This paper proposes the use of stacked denoising autoencoder for automatic feature extraction directly from raw pixel values of ligature images…”
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Image processing with Optical matrix vector multipliers implemented for encoding and decoding tasks Autor Kim, Minjoo, Kim, Yelim, Park, Won Il

“… Furthermore, our approach supports noise reduction and optical image generation, enabling models such as denoising autoencoders, variational autoencoders, and generative adversarial networks…”
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Boundary-Preserved Deep Denoising of Stochastic Resonance Enhanced Multiphoton Images Autor Niu, Sheng-Yong, Guo, Lun-Zhang, Li, Yue, Zhang, Zhiming, Wang, Tzung-Dau, Liu, Kai-Chun, Li, You-Jin, Tsao, Yu, Liu, Tzu-Ming

“…Objective: With the rapid growth of high-speed deep-tissue imaging in biomedical research, there is an urgent need to develop a robust and effective denoising method to retain morphological features for further…”
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Deep Denoising of Volumetric OCT Images for In Vivo Motion Detection Autor Sprenger, Johanna, Neidhardt, Maximilian, Mieling, Robin, Behrendt, Finn, Schluter, Matthias, Latus, Sarah, Beine, Mia, Gosau, Tobias, Kemmling, Julia, Valentiner, Ursula, Schumacher, Udo, Schlaefer, Alexander

“… We propose denoising based on unsupervised 3D convolutional Autoencoder (AE) and systematically evaluate the model on in vivo and post mortem datasets…”
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Semantic denoising autoencoders for retinal optical coherence tomography Autor Max-Heinrich Laves, Ihler, Sontje, Kahrs, Lüder Alexander, Ortmaier, Tobias

“… In this paper, a denoising approach that preserves disease characteristics on retinal optical coherence tomography images in ophthalmology is presented…”
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