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A Stereo Image Quality Evaluation Method Based on Disparity Map Stereo Structure Information Extraction

A technology for information extraction and quality evaluation, applied in the field of image processing

Active Publication Date: 2021-03-26
ZHEJIANG UNIV
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  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0005] The purpose of the present invention is to provide a full-reference 3D image quality evaluation method based on the three-dimensional structure information of the disparity map for the deficiencies of the existing image quality evaluation methods

Method used

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  • A Stereo Image Quality Evaluation Method Based on Disparity Map Stereo Structure Information Extraction
  • A Stereo Image Quality Evaluation Method Based on Disparity Map Stereo Structure Information Extraction
  • A Stereo Image Quality Evaluation Method Based on Disparity Map Stereo Structure Information Extraction

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Embodiment Construction

[0053] The method of the present invention will be further described below in conjunction with the accompanying drawings.

[0054] like figure 1 As shown, a method for evaluating the quality of stereo reference images based on the extraction of stereo structure information from disparity maps, the specific implementation steps are as follows:

[0055] Step (1). Input the distorted image I D and the reference image I R ;

[0056] Step (2). Calculate the distorted image I respectively D and the reference image I R The structural similarity of SSIM (Z.Wang, A.C.Bovik, H.R.Sheikh, and E.P.Simoncelli, "Image quality assessment: from errorvisibility to structural similarity," IEEE Transactions on Image Processing, vol.13, no.4, pp.600- 612, 2004), to select the best matching disparity map.

[0057] SSIM(x,y)=[l(x,y)] α [c(x,y)] β [s(x,y)] γ (1)

[0058]

[0059]

[0060]

[0061] Among them, C 1 、C 2 、C 3 is a small positive number to prevent the denominator f...

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Abstract

The invention discloses a stereoscopic image quality evaluation method based on disparity map stereoscopic structure information extraction. The method concretely comprises the steps that firstly thedisparity maps between the measured image and the reference image are obtained by using the structural similarity algorithm, then the gradient information is used to guide image fusion according to the human eye 's sensitivity to contour information, At the same time, the fusion image of the measured image and the left and right parallax images of the reference image is obtained by combining the obtained parallax images, Then the contour, texture and contrast features are extracted from the fusion image, and the depth features are extracted from the parallax image, and the extracted features are sent to the support vector regression model; and finally, the support vector regression model is used to establish a mapping between the subjective scoring value and the features, so as to obtain the final quality evaluation score. The image quality objective evaluation score based on the method provided by the invention has high consistency with the subjective quality score provided by the database, and has good accuracy and robustness.

Description

technical field [0001] The invention belongs to the technical field of image processing, and in particular relates to a method for evaluating the quality of a stereo image based on the stereo structure information of a disparity map. Background technique [0002] Stereoscopic imaging uses the principle of binocular parallax of the human eye. By allowing the left and right eyes to independently accept the pictures taken by the corresponding cameras of the same scene, binocular parallax is formed and the depth information of the scene is generated in the brain to restore the actual 3D scene in the human brain. . In the process of acquisition, encoding, compression and transmission of stereoscopic images, various types of distortion are easily introduced to varying degrees, so how to accurately evaluate image quality has become a research hotspot in the field of image processing. [0003] Stereoscopic image quality assessment methods can be divided into subjective quality asse...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06T7/00G06T7/13G06T7/30
CPCG06T7/0002G06T2207/10012G06T2207/20221G06T2207/30168G06T7/13G06T7/30
Inventor 丁勇宋鹏飞邓瑞喆孙光明周一博孙阳阳
Owner ZHEJIANG UNIV