A Novel Self-Adaptive Deformable Convolution-Based U-Net for Low-Light Image Denoising
Hua Wang,
Jianzhong Cao,
Huinan Guo
et al.
Abstract:Capturing images under extremely low-light conditions usually suffers from various types of noise due to the limited photon and low signal-to-noise ratio (SNR), which makes low-light denoising a challenging task in the field of imaging technology. Nevertheless, existing methods primarily focus on investigating the precise modeling of real noise distributions while neglecting improvements in the noise modeling capabilities of learning models. To address this situation, a novel self-adaptive deformable-convoluti… Show more
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