Integrating Semantic Segmentation and Retinex Model for Low-Light Image Enhancement

MM '20: The 28th ACM International Conference on Multimedia Seattle WA USA October, 2020, pp. 2317-2325, 2020.

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Abstract:

Retinex model is widely adopted in various low-light image enhancement tasks. The basic idea of the Retinex theory is to decompose images into reflectance and illumination. The ill-posed decomposition is usually handled by hand-crafted constraints and priors. With the recently emerging deep-learning based approaches as tools, in this pape...More

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