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DI-Retinex: Digital-Imaging Retinex Theory for Low-Light Image Enhancement
April 5, 2024, 4:45 a.m. | Shangquan Sun, Wenqi Ren, Jingyang Peng, Fenglong Song, Xiaochun Cao
cs.CV updates on arXiv.org arxiv.org
Abstract: Many existing methods for low-light image enhancement (LLIE) based on Retinex theory ignore important factors that affect the validity of this theory in digital imaging, such as noise, quantization error, non-linearity, and dynamic range overflow. In this paper, we propose a new expression called Digital-Imaging Retinex theory (DI-Retinex) through theoretical and experimental analysis of Retinex theory in digital imaging. Our new expression includes an offset term in the enhancement model, which allows for pixel-wise brightness …
abstract arxiv cs.cv digital digital imaging dynamic eess.iv error image imaging light low noise overflow paper quantization theory type
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