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Video image quality evaluation method and system

A quality evaluation and video image technology, applied in the field of image processing, can solve the problems of lack of thorough understanding, affecting the accuracy of objective evaluation, and unable to fully reflect the quality of video images, so as to achieve the effect of improving accuracy.

Active Publication Date: 2011-05-11
HISENSE GRP HLDG CO LTD
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Problems solved by technology

This method is simple to operate, low in cost, and easy to implement, but it cannot fully reflect the quality of the video image, and is quite different from the observation results of the human eye.
The second method is based on the physiological characteristics of the Human Visual System (HVS, Human Visual System), and is described by a unified model based on perceptual error. However, people's understanding of HVS is still not thorough enough to establish an accurate and unified model. This directly affects the accuracy of objective evaluation

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  • Video image quality evaluation method and system
  • Video image quality evaluation method and system

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Embodiment Construction

[0031] The starting point of the present invention is to use the video images that have undergone subjective evaluation, extract corresponding objective indicators from them for training and study, and build an expert system, thereby realizing the quality evaluation of unknown video images to be tested. In order to make the purpose, technical solution, and advantages of the present invention clearer, the technical solution provided by the present invention will be further described in detail below with reference to the accompanying drawings and examples.

[0032] see figure 1 , figure 1 A flowchart of a method for video image quality evaluation provided by an embodiment of the present invention, the method includes:

[0033] Step 11, collect sample pictures from the video image to be tested.

[0034] For example, a high-end SLR camera can be used to shoot video images in a dark room for sample picture collection.

[0035] Step 12, extract corresponding objective indicators ...

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Abstract

The embodiment of the present invention discloses a video image quality evaluation method and system, capable of overcoming the shortcomings of the existing subjective evaluation method and improving the accuracy of objective evaluation. The invention provided by the embodiment of the present invention includes: acquiring samples pictures from the video image to be measured; respectively extracting corresponding objective indicators according to different aspects of the subjective evaluation; simulating a subjective evaluation to the extracted objective indicators to perform quality evaluation. The technical scheme provided by the embodiment of the present invention can be used for the evaluation of the television picture quality.

Description

technical field [0001] The present invention relates to the technical field of image processing, in particular to a method and system for evaluating video image quality. Background technique [0002] Known methods for evaluating video image quality include subjective evaluation and objective evaluation. Subjective evaluation is to give scores to the image quality to be evaluated by multiple experts, and then perform statistics on the scores to obtain the average score as the evaluation result. This subjective evaluation method has accurate evaluation results, but it is time-consuming, complicated to operate, not repeatable, and expensive. There are mainly two methods for objective evaluation: the first method is to use Peak Signal to Noise Ratio (PSNR) or mean square error (error of mean square, MSE) to measure the quality of digital images. This method is simple to operate, low in cost, and easy to implement, but it cannot fully reflect the quality of the video image, whi...

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): H04N17/00G06K9/62
Inventor 刘微韩健裴雷
Owner HISENSE GRP HLDG CO LTD
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