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DVDR-SRGAN: Differential Value Dense Residual Super-Resolution Generative Adversarial Network

In the field of single-image super-resolution reconstruction, GAN can obtain the image texture more in line with the human eye. However, during the reconstruction process, it is easy to generate artifacts, false textures, and large deviations in details between the reconstructed image and the Ground...

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Detalles Bibliográficos
Autores principales: Qu, Hang, Yi, Huawei, Shi, Yanlan, Lan, Jie
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10221380/
https://www.ncbi.nlm.nih.gov/pubmed/37430768
http://dx.doi.org/10.3390/s23104854

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