Low-light Image Enhancement Algorithm Based on Adaptive Feature Decomposition and Parallel Dual Extractor

Many existing methods based on Retin-ex model mainly rely on convolution layer to process input features, which-h lack dynamic adjustment ability and are easily disturbed by redundant information. At the same time, when the local features are transferred to Transformer for modeling, the detailed inf...

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Veröffentlicht in:	Chinese Automation Congress (Online) S. 6918 - 6923
Hauptverfasser:	Li, Ce, Li, ChaoYue, Wang, Kai, Jiang, RuiLong, Chen, HuiZhong, Xiao, LiMei
Format:	Tagungsbericht
Sprache:	Englisch
Veröffentlicht:	IEEE 01.11.2024
Schlagworte:	Adaptive Feature Decomposition Brightness Convolution Feature extraction Image color analysis Image enhancement Lighting Low-light image enhancement Noise Noise reduction Parallel Dual Extractor Transformers Visualization
ISSN:	2688-0938
Online-Zugang:	Volltext
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