Stereo image quality evaluation method based on local multivariate Gaussian descriptor

A technology for stereo image and quality evaluation, applied in the field of image processing, can solve the problems of inaccurate acquisition of parallax and depth information, insufficient consideration of binocular characteristics, etc., and achieve the effect of accurate reflection and high consistency

Inactive Publication Date: 2017-11-17
TIANJIN UNIV
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Problems solved by technology

The above evaluation methods have achieved good results in different development stages of stereoscopic image quality evaluation. However, due to the inaccurate acquisition of disparity and depth information, and insufficient consideration of binocular characteristics, stereoscopic image quality evaluation is still a hot and difficult point in current research.

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  • Stereo image quality evaluation method based on local multivariate Gaussian descriptor
  • Stereo image quality evaluation method based on local multivariate Gaussian descriptor
  • Stereo image quality evaluation method based on local multivariate Gaussian descriptor

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Embodiment Construction

[0029] In the stereoscopic image quality evaluation method based on local multivariate Gaussian descriptors of the present invention, each distorted stereoscopic image pair is composed of a left image and a right image, and the distorted image pair is (D l ,D r ), including the following steps:

[0030] Step 1: Calculate the disparity of corresponding pixels according to the human stereo disparity perception principle and disparity matching algorithm, and establish an absolute disparity map. The calculation steps are as follows:

[0031] (1) Calculate the horizontal gradient map of the left and right images. Calculated as follows:

[0032]

[0033]

[0034] (2) Take the left image as the reference image, translate the right image, and use 20 pixels as the maximum disparity distance. In the process of each translation, the similarity map and gradient similarity map of the left and right images are calculated. The calculation of similarity is shown in formula (3)

[...

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Abstract

The invention relates to a stereo image quality evaluation method based on a local multivariate Gaussian descriptor. The method comprises the following steps: establishing an absolute parallax image according to a stereoscopic parallax perception principle of a human and a parallax matching algorithm; simulating a binocular fusion and binocular competition mechanism of a human eye, filtering left and right views by use of a two-dimensional Gabor filter, and calculating weight factors of right and left viewpoints according to a Gabor response and binocular parallax; synthesizing a stereoscopic perception image; performing 5*5 partitioning on the stereoscopic perception image, performing DCT on each image block, and reorganizing images after the DCT; selecting center coordinates of each image block as coordinates of feature points, and calculating the contrast of each image block; calculating local multivariate Gaussian features of the image; and performing stereo image quality prediction.

Description

technical field [0001] The invention belongs to the field of image processing and relates to a three-dimensional image quality evaluation method. Background technique [0002] In recent years, with the rapid development of multimedia technology, stereoscopic display technology has also been developed. In addition, compared with the visual experience brought by flat images, stereoscopic images are superior, bringing people a more realistic audio-visual experience and on-the-spot experience. Research on stereoscopic image / video processing has attracted people's attention. However, in the process of collecting, storing and transmitting stereoscopic images / videos, due to reasons such as equipment and processing methods, some distortions will inevitably be introduced, thereby affecting the quality of stereoscopic images / videos. Therefore, it is very important to study an evaluation method that can effectively evaluate the quality of stereoscopic images. However, the subjective ...

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): H04N17/00H04N13/00
CPCH04N17/004
Inventor 杨嘉琛汪亚芳姜斌朱英豪计春祺
Owner TIANJIN UNIV
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