Image compression method and device

Abstract

The invention discloses an image compression method and device. The method comprises the following steps of adopting an initial quality factor for obtaining an input image; computing an objective quality assessment score of the input image after double compression processing according to the initial quality factor and a preset minimum quality factor; carrying out adaptive adjustment on the quality factor of the input image according to the objective quality assessment score, a preset objective quality assessment score of the image, which is corresponding to the type of the input image, and a preset rule, stopping a compression process until the objective quality assessment score for image compression meets a preset threshold range, and computing to obtain a first quality factor; carrying out fine tuning on the first quality factor according to subjective image quality factor priori knowledge obtained based on mass data knowledge, and determining a second quality factor; and carrying out compression processing on the input image according to the first quality factor and the second quality factor. According to the image compression method and device, a problem that the visual quality effect is low when the image compression rate is higher, and the visual quality effect for image compression is improved.

Description

technical field [0001] The present invention relates to the communication field, in particular to a picture compression method and device. Background technique [0002] With the development of network and multimedia technology, the continuous enrichment and development of various terminal applications such as computers and mobile phones has made the proportion of static images in these applications continue to increase. Followed by more and more frequent use of image communication, a large amount of image information not only brings better experience to users, but also increases the challenge to the load capacity of network transmission bandwidth. At the same time, due to the gradual promotion of applications to multiple screens, different screens have different requirements for the browsing experience of pictures, and issues such as multi-resolution storage, display, and efficient compression of pictures need to be considered. On the other hand, people's requirements for t...

AI Technical Summary

Problems solved by technology

However, the image quality evaluation methods used in these methods do not take into account the visual characteristics of the human eye, and the pixel quality of the actual image after image compression is inconsistent with the visual quality of the image.

[0004] Aiming at the problem that the visual quality effect is not high when the image compression rate is high in related technologies, no effective solution has been proposed

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