Comparison of MSRAFFB-Net and recent advances.

<div><p>Image super-resolution reconstruction is one of the important application branches of computer vision in many fields. However, in actual complex environments, images are often subject to various interferences, leading to severe distortion in the reconstructed images. To address t...

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التفاصيل البيبلوغرافية
المؤلف الرئيسي:	Haixia Liu (764025) (author)
مؤلفون آخرون:	Mingliang Wang (1666225) (author)
منشور في:	2025
الموضوعات:	Cell Biology Pharmacology Biotechnology Space Science Environmental Sciences not elsewhere classified Biological Sciences not elsewhere classified Mathematical Sciences not elsewhere classified Chemical Sciences not elsewhere classified Information Systems not elsewhere classified standard datasets demonstrated scale recursive attention scale feature extraction increasing module depth holding positive implications attention feature fusion improved perceptual quality important application branches actual application scenarios improving reconstruction quality computer vision technology algorithm &# 8217 actual complex environments computer vision complex environments visual quality image reconstruction application algorithms various real various interferences simulation experiments severe distortion results indicate often subject many fields image super effectively improve characteristic information aff ).
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Comparison of MSRAFFB-Net and recent advances.

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