Based on the Retinex theory, a new variational Retinex model is proposed to decompose an image into illumination layer and reflectance layer.
In this paper, we propose a global sparse gradient guided variational Retinex model (GSG-VR) for image enhancement. Based on the Retinex theory, ...
Global sparse gradient guided variational Retinex model for image ...
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Compared with other existing image enhancement methods, the method proposed here improves the contrast of the image, overcomes the phenomenon of halo ...
Bibliographic details on Global sparse gradient guided variational Retinex model for image enhancement.
A global sparse gradient model is proposed to estimate the gradient of illumination. • The new variational Retinex and GSG model compose a complete system GSG- ...
Jun 15, 2021 · Aiming at the problems of residual noise, low contrast, and limited detail information caused by low-light images, this paper proposes a new Retinex ...
Experiments show that compared with other existing image enhancement methods, the method proposed here improves the contrast of the image, overcomes the ...
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Sep 2, 2023 · This paper introduces a novel approach for enhancing low-illumination images by utilizing the relative deviation of local gradients.
Global sparse gradient guided variational Retinex model for image enhancement. Signal Processing: Image Communication, Vol. 58 | 1 Oct 2017. Saliency driven ...
Zhang, R., et al.: Global sparse gradient guided variational retinex model for image enhancement. Signal Process. Image Commun. 58, 270–281. (2017). 20. Jin ...