Enhancing Single Image Super Resolution: A Galerkin-type Attention Mechanism-Based Approach with Residual Channel Attention

Allbwn ymchwil: Pennod mewn Llyfr/Adroddiad/Trafodion CynhadleddTrafodion Cynhadledd (Nid-Cyfnodolyn fathau)

21 Wedi eu Llwytho i Lawr (Pure)

Crynodeb

Deep learning networks effectively address the challenge of transforming low-resolution images into high-resolution images by learning from a series of LR-HR sample pairs. However, most network models are specifically trained for certain scales, and each set of network parameters is only applicable to a particular scale of super-resolution problems. To address this issue, this study introduces an arbitrary-scale super-resolution neural operator network based on a Galerkin attention mechanism, integrating Residual Channel Attention Networks as a replacement for the original feature extraction module. Furthermore, it investigates the impact of different loss functions, training epochs, and feature extraction modules on the performance of the super-resolution neural operator. Experimental results validate the performance of the proposed feature extraction module. The findings indicate that, under the same loss functions and training epochs, the improved module exhibits smaller losses on the training set compared to the original module, demonstrating enhancements. Even with significantly more training epochs, the visual effects of the original network using EDSR-Baseline as the feature extraction module still fall short of those achieved by the improved network.
Iaith wreiddiolSaesneg
TeitlUKCI 2024: 23rd UK Workshop on Computational Intelligence
StatwsCyhoeddwyd - 24 Gorff 2024
Digwyddiad23rd UK Workshop on Computational Intelligence and 8th International Conference on Belief Functions (BELIEF 2024) - Belfast Campus, Ulster University, Belfast, Teyrnas Unedig Prydain Fawr a Gogledd Iwerddon
Hyd: 04 Medi 202406 Medi 2024

Cynhadledd

Cynhadledd23rd UK Workshop on Computational Intelligence and 8th International Conference on Belief Functions (BELIEF 2024)
Teitl crynoUKCI 2024
Gwlad/TiriogaethTeyrnas Unedig Prydain Fawr a Gogledd Iwerddon
DinasBelfast
Cyfnod04 Medi 202406 Medi 2024

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