Intellindust Information Technology (shenzhen) Co., Ltd.

Caizhi Zhu

Xiao Zhou

Lin Wang

Yaohui Sun

Peizhe Ru

Shengning Xiang

The embodiments of the present disclosure provide a method and an apparatus for acquiring a RAW image, and an electronic device, the method including: obtaining an sRGB image; inputting the sRGB image into a preset image restoration model to obtain an initial RAW image corresponding to the sRGB image, wherein the preset image restoration model is a model obtained by training a preset neural network based on a first preset training set; adding a first preset noise to the initial RAW image to obtain a first noise RAW image; adding a second preset noise to the initial RAW image to obtain a second noise RAW image; inputting the first noise RAW image and the second noise RAW image into a preset noise addition model to obtain a target RAW image, wherein the preset noise addition model is a model obtained by training a preset neural network based on a second preset training set.

Method and apparatus for acquiring RAW image, and electronic device

A method and an apparatus for generating image data, which relate to the technical field of image processing. The method comprises: obtaining a first pixel value of each pixel in a first image based on original pixel values of the first image acquired by an image acquisition device when ambient light brightness is greater than a first preset brightness threshold; obtaining a second pixel value of each pixel by dividing the first pixel value of this pixel by a preset multiple; the second preset brightness threshold is less than the first preset brightness threshold; obtaining a third pixel value of each pixel by adding Poisson noise based on a total system gain of the image acquisition device on the basis of the second pixel value of this pixel; generating original pixel values of a target image which corresponds to the first image for which the ambient light brightness is less than the second preset brightness threshold based on respective third pixel values. In this way, the generation efficiency of image data can be improved.

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Shenzhen, China

Caizhi Zhu