公开(公告)号：US10531060B2

公开(公告)日：2020-01-07

申请号：US16041029

申请日：2018-07-20

申请人： Shanghai Xiaoyi Technology Co., Ltd.

发明人： Yudi Zhuang ,  Xie Wu ,  Tao Ding

IPC分类号： G06K9/00 ,  H04N9/73 ,  H04N17/00 ,  H04N9/77

摘要： A method, apparatus, computer-readable storage medium, and terminal for calibrating automatic white balance is provided including: obtaining a first white point acquired by a device under calibration capturing a neutral color under a calibration light source, and obtaining a second white point acquired by a predetermined golden set capturing a neutral color under the calibration light source; if either or both a first difference value between a first red deviation value and a second red deviation value is greater than a first predetermined threshold value and a second difference value between a first blue deviation value and a second blue deviation value is greater than a second predetermined threshold value, performing one or more of adjusting the second red deviation value so that the first difference value becomes smaller and adjusting the second blue deviation value so that the second difference value becomes smaller; and calibrating the device under calibration by using one or more of the adjusted second red deviation value and the adjusted second blue deviation value as a first golden value and a second golden value, respectively.

公开(公告)号：US10701329B2

公开(公告)日：2020-06-30

申请号：US16268678

申请日：2019-02-06

申请人： Shanghai Xiaoyi Technology Co., Ltd.

发明人： Sumin Zhu ,  Yudi Zhuang

IPC分类号： H04N9/73 ,  H04N9/04 ,  H04N5/232 ,  H04N9/77

摘要： A white balance parameter determination method and white balance adjustment method, device, and storage medium, the parameter determination method including: obtaining raw images captured by a camera device in each of a set of color temperature categories; calculating a red average value (Ravg) and a blue average value (Bavg) of each raw image; determining a red adjustment value according to a first difference value between the Ravg of each raw image and a Ravg of a golden set and determining a blue adjustment value according to a second difference value between the Bavg of each raw image and a Bavg of the golden set; and determining a final red adjustment value using the red adjustment value and a preset red adjustment value in a preset parameter table and determining a final blue adjustment value using the blue adjustment value and a preset blue adjustment value in the preset parameter table.