A method for automatically selecting image compression quality and compressing images
A technology of compression quality and automatic selection, applied in the electronic field, can solve problems such as inability to realize personalized settings, and achieve the effect of reducing manual participation, reducing size, and reducing storage space
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Embodiment 1
[0025] A method for automatically selecting picture compression quality and compressing pictures, characterized by comprising the following steps:
[0026] A. Establish a picture feature database: the database stores picture features, and each picture feature has a corresponding compression quality, and the compression quality is between 80-98; the specific establishment method includes the following steps:
[0027] a. Collect pictures in different scenarios;
[0028] b. Extract and analyze the color histogram, color moment, color distribution map and / or image texture complexity level of each picture;
[0029] c. Generate a compressed picture between the compression quality of 80-98, and compare the compressed picture with the original picture manually to obtain a compression quality that cannot be distinguished from the original picture with the naked eye;
[0030] d. Save the original image, the extracted image features and the corresponding compression quality to form a database.
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Embodiment 2
[0035] This embodiment is similar to Embodiment 1. Further, the method of establishing a picture feature database in step A further includes the step e. Feedback according to the picture processing situation, and continuously increase and optimize the database.
Embodiment 3
[0037] This embodiment is similar to embodiment 1 or embodiment 2, and further includes step E and step F, where step E is manual processing: if the quality of the picture is not satisfied, the compression quality is manually modified to obtain the one that meets the visual requirements Picture; where step F is database optimization: the original picture of the picture whose compression quality has been manually adjusted, the extracted picture features, and the corresponding compression quality are added to the database to enrich and optimize the database.
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