<ul><li>A new Retinex-based Squeeze and Excitation Network with Dark Region Detection (RSEND) is proposed for efficient low light image enhancement.</li><li>RSEND divides the low-light image into the illumination map and reflectance map, then captures important details in the illumination map for light enhancement.</li><li>The framework utilizes Squeeze and Excitation network to better capture details and performs well in complicated datasets like LOL-v2.</li><li>RSEND outperforms other CNN-based models and achieves significant improvement in peak signal-to-noise ratio (PSNR) in different datasets.</li></ul>

RSEND: Retinex-based Squeeze and Excitation Network with Dark Region Detection for Efficient Low Light Image Enhancement

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