This is essential for enhancing low-light images with highly non-uniform lighting conditions, as it can brighten up the dark areas of the image while preserving ...
Abstract. Image enhancement is a fundamental low-level task of significant importance that can directly affect high-level image processing tasks.
R. Wang, Q. Zhang, C.-W. Fu, X. Shen, W.-S. Zheng, J. Jia, Underexposed photo enhancement using deep illumination estimation, in: Proceedings of the IEEE/CVF ...
Pattern Recognit. A reflectance re-weighted Retinex model for non-uniform and low-light image enhancement, pdf. 2023, Pattern Recognit. SurroundNet: Towards ...
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Apr 18, 2024 · A reflectance re-weighted Retinex model for non-uniform and low-light image enhancement. Article. Jul 2023; PATTERN RECOGN. Fan Jia ...
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To overcome this problem, we propose a simple and effective Retinex-based model with reflectance map reweighting for images under nonuniform lighting conditions ...
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During the model training, pairs of non-uniform images are generated by weighted mixing across photos with different brightness levels. ... Retinex theory have ...
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Chen et al. (Chen et al., 2010) proposed a video enhancement method by classifying each pixel as foreground or background and extracting moving objects, ...
Jun 13, 2021 · The aim of Retinex-based algorithms is to estimate the right illumination image or reflectance image from its degraded image by different ...
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