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- W2403592022 abstract "A novel enhancement method of global brightness modulation and local contrast enhancement combined with the improved fuzzy set theory is proposed for color image contrast enhancement. The proposed method consists of three stages. Firstly, putting forward nonlinear global brightness mapping model adjusts dynamic range of images for luminance component<mml:math xmlns:mml=http://www.w3.org/1998/Math/MathML id=M1><mml:mrow><mml:mi>V</mml:mi></mml:mrow></mml:math>of<mml:math xmlns:mml=http://www.w3.org/1998/Math/MathML id=M2><mml:mi>H</mml:mi><mml:mi>S</mml:mi><mml:mi>V</mml:mi></mml:math>color space. Secondly, membership function is established in stages to adjust local contrast of image details nonlinearly based on fuzzy set theory. Finally, the enhanced images are transformed from<mml:math xmlns:mml=http://www.w3.org/1998/Math/MathML id=M3><mml:mi>H</mml:mi><mml:mi>S</mml:mi><mml:mi>V</mml:mi></mml:math>color space into<mml:math xmlns:mml=http://www.w3.org/1998/Math/MathML id=M4><mml:mi>R</mml:mi><mml:mi>G</mml:mi><mml:mi>B</mml:mi></mml:math>color space. The experiments further show that the proposed method has the shortest processing time, the highest AIC values, and the least NIQE values among the other four conventional methods. It has excellent effect, which can enhance the global brightness and local contrast, and advance visibility of low illumination images." @default.
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- W2403592022 date "2016-01-01" @default.
- W2403592022 modified "2023-10-15" @default.
- W2403592022 title "A Novel Enhancement Algorithm Combined with Improved Fuzzy Set Theory for Low Illumination Images" @default.
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- W2403592022 doi "https://doi.org/10.1155/2016/8598917" @default.
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