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Image compression quality prediction method and system

A quality prediction and image compression technology, applied in the field of image and video coding, can solve the problems of not meeting the application requirements of image compression quality, time-consuming, unfavorable real-time processing, etc.

Inactive Publication Date: 2009-06-17
广州市百行文化科技有限公司
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Problems solved by technology

This process is not only time-consuming, but also requires a lot of calculations, which is not conducive to real-time processing, nor can it meet the application needs of obtaining image compression quality before encoding

Method used

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  • Image compression quality prediction method and system
  • Image compression quality prediction method and system

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Embodiment Construction

[0080] In order to make the purpose, technical solution and advantages of the present invention clearer, a method and system for predicting image compression quality of the present invention will be further described in detail below in conjunction with the accompanying drawings and embodiments. It should be understood that the specific embodiments described here are only used to explain the present invention, not to limit the present invention.

[0081] An image compression quality prediction method and system of the present invention is an application for predicting image compression quality without encoding. It calculates the image compression quality by using the component feature quantities of the original image and the input compression ratio. Works with any encoding standard or encoder.

[0082] A kind of image compression quality prediction method of the present invention is described in detail below in conjunction with above-mentioned object, figure 1 is a flow chart...

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Abstract

The invention discloses a method and a system for predicting the image compressing quality wherein the method for predicting the image compressing quality comprises the following steps: selecting an image component X which needs calculating from an image, obtaining the characteristic quantity IAMx of the image component through calculating a first-step activeness quantity IAMD and a second-step activeness quantity IAME, calculating the signal-to-noise rate PSNR of the peak value according to the compressing rate CR and the IAMx, and predicting the image compressing quality. The method can predict the compressing quality of any component of the rebuilt images and is suitable for any coding standard or coder.

Description

technical field [0001] The present invention relates to the technical field of image and video coding, mainly relates to image and video compression technology, and in particular relates to a method and system for predicting image compression quality. Background technique [0002] In order to support interoperability and compatibility, a series of video / image coding standards have been developed internationally, such as JPEG, JPEG2000, MPEG1 / 2 / 4, H.261 / 3 / 4, AVS, HD Photo, etc. Although these standards all adopt the processing methods of transformation, quantization and entropy coding, there are differences in performance. For example, compared with H.261 and MPEG2, the coding performance of H.264 is more than doubled; the coding performance of JPEG2000 is more than 20% higher than that of JPEG. One of the important bases for evaluating a coding standard, or the performance of a coder, is image compression quality: the higher the quality of image compression, the closer the ...

Claims

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Application Information

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IPC IPC(8): H04N7/26H04N17/00H04N19/154
Inventor 李玲王贞松
Owner 广州市百行文化科技有限公司
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