Artificial-intelligence-based image processing method and apparatus, electronic device, and computer-readable storage medium

An electronic device, comprising:

• a memory, configured to store executable instructions;
• and
• a processor, configured, when executing the executable instructions stored in the memory, to implement:
• determining a background color in an image to be processed;
• for each of a plurality of pixels in the image to be processed:
• obtaining a blending transparency table that records multiple pieces of chroma and multiple blending transparency values in one-to-one correspondence to the multiple pieces of chroma, each of the multiple blending transparency values being determined according to a chroma difference between the corresponding piece of chroma and a chroma of the background color;
• and
• determining, according to a chroma of a pixel in the image to be processed and the blending transparency table, a blending transparency of the pixel that corresponds to the chroma of the pixel;
• obtaining a background image corresponding to the image to be processed, wherein the background image is different from the image to be processed and is determined based on an application scenario;
• and
• performing, in a pixel-by-pixel manner, an image blending process on the image to be processed and the background image according to the blending transparency of the pixel to obtain a composite image.

A non-transitory computer-readable storage medium, storing executable instructions, the executable instructions, when executed by a processor of an electronic device, causing the processor to implement:

• determining a background color in an image to be processed;
• for each of a plurality of pixels in the image to be processed:
• obtaining a blending transparency table that records multiple pieces of chroma and multiple blending transparency values in one-to-one correspondence to the multiple pieces of chroma, each of the multiple blending transparency values being determined according to a chroma difference between the corresponding piece of chroma and a chroma of the background color;
• and
• determining, according to a chroma of a pixel in the image to be processed and the blending transparency table, a blending transparency of the pixel that corresponds to the chroma of the pixel;
• obtaining a background image corresponding to the image to be processed, wherein the background image is different from the image to be processed and is determined based on an application scenario;
• and
• performing, in a pixel-by-pixel manner, an image blending process on the image to be processed and the background image according to the blending transparency of the pixel to obtain a composite image.