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Quality evaluation methods and devices for disparity map and 3D video

A technology of quality evaluation and disparity map, applied in the field of images, can solve the problems of not being able to objectively reflect the quality of disparity maps, time-consuming and labor-intensive, etc., and achieve the effect of overcoming subjective bias and improving evaluation quality

Inactive Publication Date: 2014-03-26
PEKING UNIV +2
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AI Technical Summary

Problems solved by technology

[0004] The traditional subjective method relying on manual observation to evaluate the quality of the disparity map is not only time-consuming and laborious, but also the evaluation results are affected by factors such as the evaluation environment and the work background of the evaluators, which cannot objectively reflect the quality of the disparity map.

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  • Quality evaluation methods and devices for disparity map and 3D video
  • Quality evaluation methods and devices for disparity map and 3D video
  • Quality evaluation methods and devices for disparity map and 3D video

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Embodiment Construction

[0016] The present invention will be described in detail below with reference to the accompanying drawings and in combination with embodiments.

[0017] figure 1 A flowchart showing a method for evaluating the quality of a disparity map according to an embodiment of the present invention, including:

[0018] Step S10, determining the mean value, skewness and kurtosis of the disparity map;

[0019] Step S20, evaluating the quality of the disparity map according to the mean value, skewness and kurtosis.

[0020] Because this method uses parameters to evaluate the quality, it overcomes the subjective bias of manual evaluation and improves the evaluation quality of the disparity map. In addition, the use of parameters to evaluate the quality can be easily realized by computer programming, so that the automation of quality evaluation can be realized, which also improves the evaluation efficiency of the disparity map and saves manual labor.

[0021] Preferably, step S20 includes:...

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Abstract

The invention provides a quality evaluation method for a disparity map. The quality evaluation method comprises the steps of determining the mean value, the skewness and the peakness of the disparity map, and evaluating the quality of the disparity map according to the mean value, the skewness and the peakness. The invention further provides a quality evaluation method for a 3D video, which comprises the steps of acquiring an image from the 3D video, converting the image into a disparity map, and evaluating the quality of the disparity map according to the quality evaluation method for the disparity map, wherein the higher the quality of the evaluated disparity map is, the higher the quality of the evaluated 3D video is; the lower the quality of the evaluated disparity map is, the lower the quality of the evaluated 3D video is. The invention further provides quality evaluation devices for the disparity map and the 3D video. The evaluation qualities are improved.

Description

technical field [0001] The present invention relates to the image field, in particular, to a disparity map and a method and device for evaluating the quality of 3D video. Background technique [0002] Stereoscopic (three-dimensional 3D) display technology has become a compelling cutting-edge technology today. The left-eye and right-eye images with parallax are called stereoscopic display disparity maps, which are two images obtained by shooting the same scene with two cameras with the same parameters placed at a certain distance. In real life, when human eyes watch an object, the convergence point and focus point are consistent, that is, the distance from the convergence point to the eyes is equal to the diopter adjustment distance. [0003] How to improve the viewing quality of 3D 3D programs is an important issue, and the matching video quality inspection and objective evaluation are the key factors. The image quality evaluation method refers to the objective evaluation ...

Claims

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Application Information

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IPC IPC(8): H04N17/02H04N13/00
Inventor 周同董全武
Owner PEKING UNIV
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