A Study on an Improved Generative Adversarial Network Model for Super-Resolution Image Reconstruction

The SRGAN model based on Generative Adversarial Networks (GANs) has achieved breakthroughs in perceptual quality for image super-resolution reconstruction. However, existing models suffer from feature smoothing effects in the generator and unstable training of the discriminator. To address these lim...

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Bibliografische Detailangaben

Hauptverfasser:	Ximin Qu, Cheng Peng
Format:	Artigo
Sprache:	Inglês
Veröffentlicht:	IEEE 2025-01-01
Schriftenreihe:	IEEE Access
Schlagworte:	Optimization strategy image super resolution attention mechanism spectral normalization residual block
Online-Zugang:	https://ieeexplore.ieee.org/document/11075683/
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