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

An electronic apparatus comprising:

• a memory storing program instructions;
• and
• a processor coupled with the memory and, when the program instructions being executed, configured to:
• perform feature extraction processing on a source image to obtain a feature data set corresponding to a source file;
• determine an image processing parameter corresponding to the feature data set according to the feature data set;
• and
• process the source image according to the image processing parameter,
• wherein,
• the processor is further configured to:
• perform identification on the feature data set by using a trained neural network to obtain identification information;
• and
• determine the image processing parameter corresponding to the identification information according to the identification information;
• the feature data set includes tone information;
• the identification information includes a CMYK tone adjustment value, and a tone curve adjustment value;
• the image processing parameter includes a CMYK tone processing parameter, and a tone curve processing parameter;
• and
• the processor is further configured to:
• identify the tone information by using the trained neural network to obtain the CMYK tone adjustment value, the tone curve adjustment value;
• and
• retrieve the CMYK tone processing parameter corresponding to the CMYK tone adjustment value, the tone curve processing parameter corresponding to the tone curve adjustment value, from a database according to the CMYK tone adjustment value, the tone curve adjustment value.

A non-transitory computer-readable storage medium storing a program that, when executed by a processor, causes the processor to:

• perform feature extraction processing on a source image to obtain a feature data set corresponding to a source file;
• determine an image processing parameter corresponding to the feature data set according to the feature data set;
• and
• process the source image according to the image processing parameter,
• wherein,
• the processor is further configured to:
• perform identification on the feature data set by using a trained neural network to obtain identification information;
• and
• determine the image processing parameter corresponding to the identification information according to the identification information;
• the feature data set includes tone information;
• the identification information includes a CMYK tone adjustment value, and a tone curve adjustment value;
• the image processing parameter includes a CMYK tone processing parameter, and
• a tone curve processing parameter;
• and
• the processor is further configured to:
• identify the tone information by using the trained neural network to obtain the CMYK tone adjustment value, the tone curve adjustment value;
• and
• retrieve the CMYK tone processing parameter corresponding to the CMYK tone adjustment value, the tone curve processing parameter corresponding to the tone curve adjustment value, from a database according to the CMYK tone adjustment value, the tone curve adjustment value.