| ZHANG Shi,TANG Gui-jin,LIU Xiao-hua,LUO Su-huai,WANG Da-dong.Retinex based low-light image enhancement using guided filtering and variational framework[J].Optoelectronics Letters,2018,14(2):156-160 |
| Retinex based low-light image enhancement using guided filtering and variational framework |
| Author Name | Affiliation | | ZHANG Shi | Jiangsu Key Lab on Image Processing & Image Communication, Nanjing University of Posts and Telecommunications, Nanjing 210003, China | | TANG Gui-jin | Jiangsu Key Lab on Image Processing & Image Communication, Nanjing University of Posts and Telecommunications, Nanjing 210003, China | | LIU Xiao-hua | Jiangsu Key Lab on Image Processing & Image Communication, Nanjing University of Posts and Telecommunications, Nanjing 210003, China | | LUO Su-huai | School of Electrical Engineering and Computing, The University of Newcastle, NSW 2308, Australia | | WANG Da-dong | |
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| Abstract: |
| A new image enhancement algorithm based on Retinex theory is proposed to solve the problem of bad visual effect of an image in low-light conditions. First, an image is converted from the RGB color space to the HSV color space to get the V channel. Next, the illuminations are respectively estimated by the guided filtering and the variational framework on the V channel and combined into a new illumination by average gradient. The new reflectance is calculated using V channel and the new illumination. Then a new V channel obtained by multiplying the new illumination and reflectance is processed with contrast limited adaptive histogram equalization (CLAHE). Finally, the new image in HSV space is converted back to RGB space to obtain the enhanced image. Experimental results show that the proposed method has better subjective quality and objective quality than existing methods. |
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