A hierarchically sampling global sparse transformer in data stream mining for lightweight image restoration

A hierarchically sampling global sparse transformer in data stream mining for lightweight image restoration

Abstract With the rapid development of information technology, mining valuable information from multi-source data stream is essential for redundant data, particularly in image processing; the image is degraded when the image sensor acquires information. Recently, transformer has been applied to the...

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Bibliographic Details
Main Authors: Mingzhu Shi, Bin Zao, Chao Wang, Muxian Tan, Siqi Kong, Shouju Liu
Format: Article
Language:English
Published: SpringerOpen 2023-05-01
Series:EURASIP Journal on Advances in Signal Processing
Subjects:
Image restoration
Transformer
Global sparse attention
Stochastic sampler
Online Access:https://doi.org/10.1186/s13634-023-01011-4

Internet

https://doi.org/10.1186/s13634-023-01011-4

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