Stereoscopic image non-reference quality evaluation method based on visual perception characteristics

A stereoscopic image and visual perception technology, applied in stereoscopic systems, image communication, television, etc., can solve the problems of high computational complexity and low evaluation efficiency

Inactive Publication Date: 2014-04-30
FUZHOU UNIV
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Problems solved by technology

This step estimates the disparity information of the left and right views, and then converts it into the corresponding depth value. However, the disparity estimation needs to match the positions of the corresponding pixels in the left and right images, and the calculation complexity is very high, resulting in low evaluation efficiency....

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  • Stereoscopic image non-reference quality evaluation method based on visual perception characteristics
  • Stereoscopic image non-reference quality evaluation method based on visual perception characteristics
  • Stereoscopic image non-reference quality evaluation method based on visual perception characteristics

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Embodiment Construction

[0068] The technical solution of the present invention will be specifically described below in conjunction with the accompanying drawings.

[0069] A method for evaluating the quality of a stereoscopic image without reference based on visual perception characteristics of the present invention comprises the following steps,

[0070] Step S1: Selecting the visual focus area: using the visual saliency model algorithm to select the focus area of ​​the human eye on the image;

[0071] Step S2: Depth map generation: Extract stereoscopic information representing the left and right views of the above-mentioned attention area, and generate a depth map;

[0072] Step S3: Feature statistics of the depth map: Perform feature statistical processing on the depth value of the depth map, that is, determine the perceptible range and sensitivity factor of the human eye to the pixel value of the depth map through the depth minimum perceivable error model, and combine the calculated depth Relati...

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Abstract

The invention relates to a stereoscopic image non-reference quality evaluation method based on visual perception characteristics. The method includes the steps that firstly, a region in which the human eyes are interested in an image is selected through a visual prominence model algorithm; secondly, a depth map for representing stereoscopic visual information is extracted from the region of interest as an evaluation basis through a left view and a right view; thirdly, characteristic statistical treatment is conduced on the depth value of the region, and the influence of human eye depth sensitive characteristics on depth perception is considered in the process; eventually the video sequence depth quality value is calculated by the combination of characteristic information of time domains. Compared with a traditional method, the stereoscopic image non-reference quality evaluation method has the advantages that result accuracy is greatly improved, high generating efficiency of the depth map is possessed, weight factors for representing that the depth level affects human eye depth sensitivity are added in a stereoscopic feeling quality evaluation model, and then stereoscopic image quality is more accurately evaluated.

Description

technical field [0001] The invention relates to a no-reference quality evaluation method for stereoscopic images based on visual perception characteristics. Background technique [0002] Stereoscopic image depth perception quality evaluation refers to a method for evaluating the stereoscopic experience quality of stereoscopic image content. There are two methods for evaluating stereoscopic image quality: subjective evaluation and objective evaluation. subjective evaluation method [1] Although the result of the method is more accurate, it needs to organize specialized personnel to observe, which is expensive and time-consuming, and is not suitable for real-time applications and system integration. Therefore, objective quality assessment methods [2, 3] It has become a hot topic in recent years. [0003] In the objective evaluation method of stereoscopic images, in 2008, Benoit expanded the traditional 2D image objective quality evaluation method, introduced the disparity ma...

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Application Information

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IPC IPC(8): H04N17/00H04N13/00
Inventor 兰诚栋吴宇笙李亚格杨秀芝陈建
Owner FUZHOU UNIV
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