Fine Cut, Music, Audio and Color Correction

2020 ◽  
pp. 247-260
Author(s):  
Michael Rabiger ◽  
Courtney Hermann
Keyword(s):  
2010 ◽  
Vol 30 (8) ◽  
pp. 2085-2087
Author(s):  
Tian-bi LIU ◽  
Chun-lin SONG ◽  
Xing-ge JIANG ◽  
Xu-hui XU
Keyword(s):  

2021 ◽  
Author(s):  
Hyeonwoo Jeong ◽  
Byunghyun Yoon ◽  
Honggu Jeong ◽  
Kang-Sun Choi

2021 ◽  
Vol 91 ◽  
pp. 106981
Author(s):  
Weidong Zhang ◽  
Xipeng Pan ◽  
Xiwang Xie ◽  
Lingqiao Li ◽  
Zimin Wang ◽  
...  

2020 ◽  
Vol 10 (18) ◽  
pp. 6392
Author(s):  
Xieliu Yang ◽  
Chenyu Yin ◽  
Ziyu Zhang ◽  
Yupeng Li ◽  
Wenfeng Liang ◽  
...  

Recovering correct or at least realistic colors of underwater scenes is a challenging issue for image processing due to the unknown imaging conditions including the optical water type, scene location, illumination, and camera settings. With the assumption that the illumination of the scene is uniform, a chromatic adaptation-based color correction technology is proposed in this paper to remove the color cast using a single underwater image without any other information. First, the underwater RGB image is first linearized to make its pixel values proportional to the light intensities arrived at the pixels. Second, the illumination is estimated in a uniform chromatic space based on the white-patch hypothesis. Third, the chromatic adaptation transform is implemented in the device-independent XYZ color space. Qualitative and quantitative evaluations both show that the proposed method outperforms the other test methods in terms of color restoration, especially for the images with severe color cast. The proposed method is simple yet effective and robust, which is helpful in obtaining the in-air images of underwater scenes.


2018 ◽  
Vol 51 (17) ◽  
pp. 81-84
Author(s):  
Feng Qingchun ◽  
Chen Jian ◽  
Wang Xiu

2015 ◽  
Vol 75 (13) ◽  
pp. 7589-7604
Author(s):  
Jongin Son ◽  
Minsung Kang ◽  
Dongbo Min ◽  
Kwanghoon Sohn

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