Abstract: This application provides an image processing method and an electronic device. The image processing method includes: acquiring a plurality of frames of original images; adding a reference coordinate image layer to a second field-of-view image; obtaining an image layer set according to a first field-of-view image, the second field-of-view image, and the reference coordinate image layer; processing, by using a deep learning network model, the image layer set to obtain a first enhanced image; and obtaining a second enhanced image according to the first enhanced image. In the method, since the added reference coordinate image layer reflects a mapping relationship between a field of view corresponding to the first field-of-view image and a field of view corresponding to the second field-of-view image, through the addition of the reference coordinate image layer, priori information can be added, so that different adjustments can be made subsequently according to different field-of-view relationships.

Abstract: A method for obtaining a light source spectrum includes: obtaining first information in a current photographing scene, where the first information includes at least one of a first image generated by a red, green, and blue (RGB) sensor or a light intensity of light received by each pixel on a first multispectral sensor; inputting the first information into a first model to obtain a probability that a light source in the current photographing scene belongs to each type of light source; and determining a spectrum of the light source in the current photographing scene based on the probability that the light source in the current photographing scene belongs to each type of light source and a spectrum of each type of light source.