Abstract
We proposed the Retinex-based fast algorithm (RBFA) to achieve low-light image enhancement in this paper, which can restore information that is covered by low illuminance. The proposed algorithm consists of the following parts. Firstly, we convert the low-light image from the RGB (red, green, blue) color space to the HSV (hue, saturation, value) color space and use the linear function to stretch the original gray level dynamic range of the V component. Then, we estimate the illumination image via adaptive gamma correction and use the Retinex model to achieve the brightness enhancement. After that, we further stretch the gray level dynamic range to avoid low image contrast. Finally, we design another mapping function to achieve color saturation correction and convert the enhanced image from the HSV color space to the RGB color space after which we can obtain the clear image. The experimental results show that the enhanced images with the proposed method have better qualitative and quantitative evaluations and lower computational complexity than other state-of-the-art methods.
Highlights
The Retinex model can be expressed as follows [23]
We introduce the Retinex model, gamma correction
The classical Retinex model assumes that the observed image consists of reflectance and illumination
Summary
The aim of Retinex-based algorithms is to estimate the right illumination image or reflectance image from its degraded image by different filters to achieve low brightness enhancement [15,16]. Estimating a suitabletransfer γ value is the key to obtaining these types of methods are pixel-wise isfactory enhanced results.operations for natural low-light images. We utilize thetransfer gamma function transfer function estimate illumination image processing, but the limitation of gamma correction is that if the parameter γ is too achieve brightness enhancement via the Retinex model. The enhanced image achieves small, it willisfactory amplify light the noise of the target contrast, equalization; if the parameter γ is close enhancement andimage; globalby brightness our method can to 1, satisfactory results will not be obtained.
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