SPLIE: Optimal Illumination Estimation for Structure Preserving Low-light Image Enhancement

2021 ◽  
Vol 0 (0) ◽  
pp. 0-0
Author(s):  
Ghada Sandoub ◽  
Randa Atta ◽  
Rabab Abdel-Kader ◽  
Hesham Ali
Author(s):  
Dr. Anil Singh Parihar ◽  
Kavinder Singh

<div>In this paper, we proposed a new low-light image enhancement</div><div>approach to overcome the above limitations. The</div><div>proposed algorithm is named as Nature Preserving Lowlight</div><div>Image Enhancement (NPLIE). NPLIE estimates initial</div><div>illumination and performs optimal refinement. The proposed</div><div>algorithm computes the reflectance component through an</div><div>element-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 initial</div><div>illuminance from structure-aware smoothening of a low-light</div><div>image using guided filters of variable box sizes. We compute</div><div>refined illumination by solving the proposed multi-objective</div>


Author(s):  
Xiaomei Feng ◽  
Jinjiang Li ◽  
Zhen Hua ◽  
Fan Zhang

Author(s):  
Dr. Anil Singh Parihar ◽  
Kavinder Singh

<div>In this paper, we proposed a new low-light image enhancement</div><div>approach to overcome the above limitations. The</div><div>proposed algorithm is named as Nature Preserving Lowlight</div><div>Image Enhancement (NPLIE). NPLIE estimates initial</div><div>illumination and performs optimal refinement. The proposed</div><div>algorithm computes the reflectance component through an</div><div>element-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 initial</div><div>illuminance from structure-aware smoothening of a low-light</div><div>image using guided filters of variable box sizes. We compute</div><div>refined illumination by solving the proposed multi-objective</div>


2021 ◽  
Author(s):  
Zhuqing Jiang ◽  
Haotian Li ◽  
Liangjie Liu ◽  
Aidong Men ◽  
Haiying Wang

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