Low-light image enhancement based on Double component processing of Retinex model

The Retinex model has been shown to be an effective method of enhancing shimmering images, and how to deal with the illuminance and reflection components decomposed from Retinex model is the key to obtain high-quality enhanced images.To better apply the Retinex model to achieve more effective micro-optical image enhancement, this paper proposes an image enhancement method based on Retinex model with dual enhancement of the illuminance and reflection components.First, to reduce the computational complexity of the algorithm, the original RGB image is converted to HSV color space, and the V component is extracted for subsequent processing in this paper; Then,processing V components by guided filter to obtain the illuminance component according to Retinex model,so that the obtained illuminance component will not have edge loss;The reflection component is then obtained by logarithmic decomposition.Then global adaptive brightness enhancement and local contrast enhancement are performed for illuminance components; detail enhancement was applied to the reflection component.Finally the enhanced illuminance and reflection components are combined into an enhanced image. Experiments on a large number of datasets show that this method can achieve better image enhancement in both subjective and objective evaluation, and is superior to or similar to the existing methods.