Adaptive Image Rendering Using a Nonlinear Mapping-Function-Based Retinex Model

This paper introduces an adaptive image rendering using a parametric nonlinear mapping-function-based on the retinex model in a low-light source. For this study, only a luminance channel was used to estimate the reflectance component of an observed low-light image, therefore halo artifacts coming fr...

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Bibliographic Details
Published in:Sensors (Basel, Switzerland) Switzerland), 2019-02, Vol.19 (4), p.969
Main Authors: Oh, JongGeun, Hong, Min-Cheol
Format: Article
Language:English
Subjects:
contrast ratio
image rendering
International conferences
Light
Mapping
Methods
nonlinear mapping function
Reflectance
Rendering
retinex model
statistics
Visual perception
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Summary:This paper introduces an adaptive image rendering using a parametric nonlinear mapping-function-based on the retinex model in a low-light source. For this study, only a luminance channel was used to estimate the reflectance component of an observed low-light image, therefore halo artifacts coming from the use of the multiple center/surround Gaussian filters were reduced. A new nonlinear mapping function that incorporates the statistics of the luminance and the estimated reflectance in the reconstruction process is proposed. In addition, a new method to determine the gain and offset of the mapping function is addressed to adaptively control the contrast ratio. Finally, the relationship between the estimated luminance and the reconstructed luminance is used to reconstruct the chrominance channels. The experimental results demonstrate that the proposed method leads to the promised subjective and objective improvements over state-of-the-art, scale-based retinex methods.
ISSN:1424-8220
1424-8220
DOI:10.3390/s19040969