Shenzhen Sensetime Technology Co., Ltd.

Songfang Han

Haoran Wang

Qiong Yan

Ligen Dai

Xu Bao

Chao Dong

Furong Zhao

Mingyang Huang

Chuanjun Li

Junfan Lin

Zhineng Lin

Wenqi Liu

Juan Lin

Jinhai Su

An image lighting method includes: determining a convolutional neural network corresponding to a lighting operation type of an initial image; obtaining local feature information and global feature information of initial image according to convolutional neural network; obtaining fusion feature information of initial image according to convolutional neural network based on local feature information and global feature information; obtaining a maximum pooling result map and a minimum pooling result map according to convolutional neural network based on a luminance component map of initial image; obtaining a bilateral grid matrix of initial image based on fusion feature information, maximum pooling result map, and minimum pooling result map; and performing affine transformation on initial image according to bilateral grid matrix to obtain a target image, the target image being an image obtained after lighting initial image according to lighting operation type.

Image lighting methods and apparatuses, electronic devices, and storage media

An image processing method includes: obtaining a facial skin tone area in an image to be processed; filtering the image to be processed to obtain a filtered smooth image; obtaining a high-frequency image based on the smooth image and the image to be processed; obtaining a facial skin tone high-frequency image based on the high-frequency image and a facial skin tone mask; and superimposing the high-frequency image and the image to be processed based on the facial skin tone mask and preset first superimposition strength in a luma channel, and superimposing a luma channel signal of the facial skin tone high-frequency image onto a luma channel signal of the image to be processed, to obtain a first image.

Image processing method and apparatus, electronic device, and computer storage medium

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Shenzhen, China

Songfang Han