Illumination Estimation for Nature Preserving low-light image enhancement
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TLDR
In this work, initialilluminance is estimated from structure-aware smoothening of a low-light image using guided filters of variable box sizes and illumination is computered by solving the proposed multi-objective illumination problem.Abstract:
In this paper, we proposed a new low-light image enhancementapproach to overcome the above limitations. Theproposed algorithm is named as Nature Preserving LowlightImage Enhancement (NPLIE). NPLIE estimates initialillumination and performs optimal refinement. The proposedalgorithm computes the reflectance component through anelement-wise division of input image by illumination. The enhanced image is obtained as a product of adjusted illumination and reflectance component. In this work, we estimate initialilluminance from structure-aware smoothening of a low-lightimage using guided filters of variable box sizes. We computerefined illumination by solving the proposed multi-objectiveread more
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References
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FLA-Net: multi-stage modular network for low-light image enhancement
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Two-stage image decomposition and color regulator for low-light image enhancement
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