An image compression method and device

An image compression and image technology, applied in the field of image processing, can solve the problems of high computational complexity and many initialization parameters, and achieve the effect of good visual effect

Active Publication Date: 2020-02-11
ZTE CORP
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Problems solved by technology

Later, researchers proposed a classic visual quality evaluation method based on image local feature structure similarity (SSIM), a quality evaluation algorithm for block compression algorithm (BBCQ: BlockBased Coding Quality), and a quality evaluation method based on feature similarity. Algorithm (FSIM: feature similarity) and other objective evaluation algorithms, but the above methods have certain problems, such as BBCQ needs too many initialization parameters, SSIM, FSIM calculation complexity is too high

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  • An image compression method and device
  • An image compression method and device
  • An image compression method and device

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[0066] In order to make the purpose, technical solution and advantages of the present invention more clear, the embodiments of the present invention will be described in detail below in conjunction with the accompanying drawings. It should be noted that, in the case of no conflict, the embodiments in the present application and the features in the embodiments can be combined arbitrarily with each other.

[0067] The Joint Photographic Experts Group JPEG standard uses quality factors as constraints for image compression coding. The quality factor is a coefficient used to evaluate the quality comparison of images before and after compression. The larger the quality factor, the less image compression and the better the quality.

[0068] The present invention uses an objective image quality evaluation algorithm to accurately and objectively evaluate the image quality, thereby obtaining the quality score, and uses the Sigmod function to fit the functional relationship between the q...

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Abstract

Disclosed is an image compression method, wherein the method comprises: respectively performing image quality evaluation on n compressed images obtained by respectively adopting n groups of different quality factors to perform joint photographic experts group (JPEG) image compression on an original image, so as to obtain n groups of quality evaluation scores; performing function fitting by utilizing the n groups of quality evaluation scores and the corresponding quality factors, so as to obtain a function relationship between the quality evaluation scores and the quality factors; calculating a target quality factor corresponding to a target quality score by utilizing the function relationship between the quality evaluation scores and the quality factors; and determining an optimal quality factor according to the target quality factor, and performing the JPEG image compression on the original image again by utilizing the optimal quality factor.

Description

technical field [0001] The present invention relates to the technical field of image processing, in particular to an image compression method and device. Background technique [0002] In the Internet big data application environment, with the continuous development of network visual media technology, multimedia entertainment, information highway, etc. have continuously put forward higher requirements for the storage and transmission of information data, especially digital images with huge data volume Communication brings a severe test to the existing limited bandwidth, so image compression technology has received more and more attention. The purpose of image compression is to represent and transmit the original larger image with as few bytes as possible, and require the restored image to have better quality. The use of image compression can reduce the burden of image storage and transmission, enabling fast transmission and real-time processing of images on the network. [...

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): H04N19/154
CPCH04N19/154
Inventor 陆平马利庄贾霞朱恒亮刘明蒋娇
Owner ZTE CORP
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