Adjustable Complexity Transformer Architecture for Image Denoising

In recent years, image denoising has seen a shift from traditional non-local self-similarity methods like BM3D to deep-learning based approaches that use learnable convolutions and attention mechanisms. While pixel-level attention is effective at capturing long-range relationships similar to non-loc...

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Hlavní autoři:	Jan-Ray Liao, Wen Lin, Li-Wen Chang
Médium:	Artigo
Jazyk:	Inglês
Vydáno:	MDPI AG 2026-04-01
Edice:	Signals
Témata:	transformer attention convolutional neural network image denoising
On-line přístup:	https://www.mdpi.com/2624-6120/7/2/33
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