Bio-Inspired Simple Neural Network for Low-Light Image Restoration: A
Minimalist Approach
- URL: http://arxiv.org/abs/2305.01844v1
- Date: Wed, 3 May 2023 01:16:45 GMT
- Title: Bio-Inspired Simple Neural Network for Low-Light Image Restoration: A
Minimalist Approach
- Authors: Junjie Ye, Jilin Zhao
- Abstract summary: In this study, we explore the potential of using a straightforward neural network inspired by the retina model to efficiently restore low-light images.
Our proposed neural network model reduces the computational overhead compared to traditional signal-processing models.
- Score: 8.75682288556859
- License: http://creativecommons.org/licenses/by/4.0/
- Abstract: In this study, we explore the potential of using a straightforward neural
network inspired by the retina model to efficiently restore low-light images.
The retina model imitates the neurophysiological principles and dynamics of
various optical neurons. Our proposed neural network model reduces the
computational overhead compared to traditional signal-processing models while
achieving results similar to complex deep learning models from a subjective
perceptual perspective. By directly simulating retinal neuron functionalities
with neural networks, we not only avoid manual parameter optimization but also
lay the groundwork for constructing artificial versions of specific
neurobiological organizations.
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