GA-GESRGAN: Document Images Super Resolution using Gabor Filters, ESRGAN Models and Genetic Algorithms [PDF]
In the last decade, we have witnessed significant progress in image super-resolution, thanks in particular to the emergence and improvement of deep learning models, which can adapt to the complexity of tasks and improve image quality.
KEZZOULA, Zakia +2 more
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Efficient Medicinal Image Transmission and Resolution Enhancement via GAN
While X-ray imaging is indispensable in medical diagnostics, it inherently carries with it those noises and limitations on resolution that mask the details necessary for diagnosis.
Aparjeeta, Jeetashree +3 more
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Conveyor belt foreign object detection method based on improved YOLOv11 and ESRGAN. [PDF]
Li Q +5 more
europepmc +1 more source
RESUMEN : Este proyecto abordó la identificación de placas vehiculares en imágenes de baja resolución capturadas por cámaras de seguridad no especializadas.
Ocampo Rojas, Alejandro
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Deep learning for high-resolution material texture enhancement in 3D environments. [PDF]
Alonso K, Patow G.
europepmc +1 more source
Evaluating the effectiveness of satellite image super-resolution for road quality monitoring. [PDF]
Thegeya A +8 more
europepmc +1 more source
ACA-ESRGAN: Metode Super-Resolusi untuk Transmisi Gambar Efisien pada Kendaraan Otonom [PDF]
Integrasi Kendaraan Listrik Otonom (AEVs) dalam lingkungan terbatas memerlukan solusi komunikasi yang efisien dan hemat energi, terutama untuk mentransmisikan data berdimensi tinggi yang penting bagi navigasi dan pemantauan secara real-time.
Muhammad Wildan Syaifullah, - +2 more
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Deep convolutional models for robust multi-crop disease recognition in real-world conditions. [PDF]
Srivastava A +6 more
europepmc +1 more source
Edge-Aware Short-Chain Diffusion Enables High-Fidelity Sparse-Sampling Optoacoustic Tomography. [PDF]
Fan Y +5 more
europepmc +1 more source
Oregon real estate news-journal
This archived document is maintained by the Oregon State Library as part of the Oregon Documents Depository Program. It is for informational purposes and may not be suitable for legal purposes.Began publication with vol. 28, no. 3 (fall 1974). Cf. ORULS
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