Bigo Technology Pte. Ltd.

Lingxiao Du

Yi Huang

Embodiments of the present application provide a method for denoising videos. The method comprises: acquiring, by the CPU, video frame images by acquiring video data and decoding the video data; loading, by the GPU, the video frame images from the CPU; acquiring, by the GPU, first images by denoising the video frame images using a predetermined non-local means (NLM) denoising algorithm; acquiring, by the GPU, second images by denoising the first images using a predetermined non-local Bayes (NLB) denoising algorithm; and acquiring, by the CPU, denoised video data by acquiring the second images from the GPU and encoding the second images.

Method for denoising videos and electronic device therefor

A skin color identification method comprises: acquiring an image of human face; determining a target color gamut difference of respective pixels in the image of human face, the target color gamut difference of the respective pixels being a difference between intensity values of two designated color components of the respective pixels; and determining a confidence degree of skin color that the skin color of a human face in the image of human face belongs to a target skin color according to the target color gamut differences of all pixels in the image of human face, the confidence degree of skin color reflecting a probability that the skin color of the human face in the image of human face is the target skin color. A skin color identification apparatus and a computer-readable storage medium are further provided.

Skin color identification method, skin color identification apparatus and storage medium

A skin color detection method comprises: determining chrominance signal values in a luminance chrominance YUV domain of a pixel value corresponding to each pixel point in a target image under skin color detection; searching for a skin color probability corresponding to the chrominance signal values in a stored skin color index matrix based on the chrominance signal values in the YUV domain of the pixel value corresponding to the pixel point, wherein the skin color index matrix is generated through processing skin color images under various illumination conditions, and the skin color probability is a probability that the pixel point is a skin color point; and performing skin color detection based on the skin color probability corresponding to the chrominance signal values of each pixel point in the target image. A skin color detection apparatus and a storage medium are further provided.

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Guangzhou, China

Lingxiao Du