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.

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reconstruction process statistics of the luminance stateoftheart scalebased retinex methods method retinex model adaptive image rendering nonlinear mapping function chrominance channels reconstructed luminance observed lowlight contrast multiple centersurround gaussian filters reflectance component of parametric nonlinear mappingfunctionbased on objective

JongGeun Oh,Min-Cheol Hong,.Adaptive Image Rendering Using a Nonlinear Mapping-Function-Based Retinex Model. 19 (4),.

JongGeun Oh,Min-Cheol Hong,"Adaptive Image Rendering Using a Nonlinear Mapping-Function-Based Retinex Model" 19

JongGeun Oh,Min-Cheol Hong,"Adaptive Image Rendering Using a Nonlinear Mapping-Function-Based Retinex Model"