AI RESEARCH
UHD Low-Light Image Enhancement via Real-Time Enhancement Methods with Clifford Information Fusion
arXiv CS.CV
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ArXi:2604.09321v1 Announce Type: cross Considering efficiency, ultra-high-definition (UHD) low-light image restoration is extremely challenging. Existing methods based on Transformer architectures or high-dimensional complex convolutional neural networks often suffer from the "memory wall" bottleneck, failing to achieve millisecond-level inference on edge devices. To address this issue, we propose a novel real-time UHD low-light enhancement network based on geometric feature fusion using Clifford algebra in 2D Euclidean space.