Enhance dark images quickly by estimating a global curve and using a lookup table with LUT-GCE

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Enhance dark images quickly by estimating a global curve and using a lookup table with LUT-GCE

LUT-GCE: Lookup Table Global Curve Estimation for Fast Low-light Image Enhancement
arXiv paper abstract https://arxiv.org/abs/2306.07083
arXiv PDF paper https://arxiv.org/pdf/2306.07083.pdf

… present an effective and efficient approach for low-light image enhancement, named Lookup Table Global Curve Estimation (LUT-GCE).

In contrast to existing curve-based methods with pixel-wise adjustment, … propose to estimate a global curve for the entire image that allows corrections for both under- and over-exposure.

… develop a novel cubic curve formulation for light enhancement, which enables an image-adaptive and pixel-independent curve for the range adjustment of an image.

… propose a global curve estimation network (GCENet), a very light … with … 25.4k parameters. To … speed … inference … lookup table … is employed for fast retrieval.

In addition, a novel histogram smoothness loss is designed to enable zero-shot learning, which is able to improve the contrast of the image and recover clearer details.

… approach outperforms the state of the art in terms of inference speed, especially on high-definition images (e.g., 1080p and 4k).

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AI News Clips by Morris Lee: News to help your R&D
AI News Clips by Morris Lee: News to help your R&D

Written by AI News Clips by Morris Lee: News to help your R&D

A computer vision consultant in artificial intelligence and related hitech technologies 37+ years. Am innovator with 66+ patents and ready to help a firm's R&D.

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