local dimming
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2021 ◽  
Vol 52 (S2) ◽  
pp. 45-47
Author(s):  
Yuanying Wang ◽  
Kexiong Zhou ◽  
Baosheng Feng ◽  
Dongyun Sun ◽  
Yankun Chu ◽  
...  

Author(s):  
Tao Zhang ◽  
Hao Wang ◽  
Wenli Du ◽  
Meng Li
Keyword(s):  
Deep Cnn ◽  

2021 ◽  
Author(s):  
Enguo Chen ◽  
Ju Guo ◽  
Zongzhao Jiang ◽  
Qiongxin Shen ◽  
Yun Ye ◽  
...  
Keyword(s):  

2021 ◽  
Vol 52 (S1) ◽  
pp. 177-178
Author(s):  
Ju Guo ◽  
Zongzhao Jiang ◽  
Fang Gao ◽  
EnGuo Chen ◽  
Sheng Xu ◽  
...  

2021 ◽  
Vol 52 (S1) ◽  
pp. 290-291
Author(s):  
Daobing Hu ◽  
Juncheng Xiao ◽  
Hongyuan Xu ◽  
Jiayang Fei ◽  
Yongyuan Qiu ◽  
...  
Keyword(s):  

2021 ◽  
Vol 36 (7) ◽  
pp. 939-946
Author(s):  
Ju GUO ◽  
◽  
Qiong-xin SHEN ◽  
Zong-zhao JIANG ◽  
En-guo CHEN ◽  
...  

2020 ◽  
Vol 51 (1) ◽  
pp. 235-238
Author(s):  
Chun-Chi Chen ◽  
Young-Yuan Qiu ◽  
Wei-Wei Zheng ◽  
Yu Gang ◽  
Chung-Yi Chiu ◽  
...  

2020 ◽  
Vol 51 (1) ◽  
pp. 231-234
Author(s):  
Enhui Guan ◽  
Xinyi Cheng ◽  
Xiao Zhang ◽  
Zhimao Wang ◽  
Ma Xitong ◽  
...  
Keyword(s):  

2020 ◽  
Vol 50 (12) ◽  
pp. 4162-4175
Author(s):  
Tao Zhang ◽  
Qin Zeng ◽  
Xin Zhao

2020 ◽  
Vol 10 (5) ◽  
pp. 1820 ◽  
Author(s):  
Tao Zhang ◽  
Wenli Du ◽  
Hao Wang ◽  
Qin Zeng ◽  
Long Fan

Local dimming technology focuses on improving the contrast ratio of the displayed images for a great visual perception. It consists of backlight extraction and pixel compensation. Considering a single existing backlight extraction algorithm can hardly adapt to images with diverse characteristics and rich details, we propose a stronger adaptive local dimming method with details preservation in this paper. This method, combining the advantages of some existing methods and introducing the combination of the subjective evaluation and the objective evaluation, obtains a stronger adaptation compared with others. Besides, to offset the luminance reduction caused in the backlight extraction process, we improve the bi-histogram equalization algorithm and propose a new pixel compensation method. To preserve image details, the Retinex theory is adopted to separate details. Experimental results demonstrate the effect of the proposed method on contrast ratio improvement and details preservation.


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