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

A non-transitory storage medium, on which a plurality of instructions are stored, the instructions being to be loaded by a processor to execute operations of:

• identifying a face area in a target image;
• determining a blurry, unfocused, noisy or ghosted area in the feature area as a local area to be processed based on a trained convolutional neural network model;
• acquiring posture information of a face in the face area;
• selecting a target sample face image from a face image database according to the posture information;
• and
• regulating an image feature in the local area to be processed to be consistent with an image feature in a corresponding area of the target sample face image.

An electronic device, comprising a processor and a memory, wherein the processor is electrically connected with the memory, the memory is configured to store instructions and data, and the processor is configured to execute operations of:

• identifying a face area in a target image;
• determining a blurry, unfocused, noisy or ghosted area in the face area as a local area to be processed based on a trained convolutional neural network model;
• acquiring posture information of a face in the face area;
• selecting a target sample face image from a face image database according to the posture information;
• and
• regulating an image feature in the local area to be processed to be consistent with an image feature in a corresponding area of the target sample face image.