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Three-dimensional image quality objective evaluation method based on three-dimensional visual saliency

A technology for objective quality evaluation and stereoscopic images, applied in the field of stereoscopic images, it can solve the problems that the objective evaluation value cannot effectively reflect the subjective evaluation results, and the influence of the human eye is not considered.

Inactive Publication Date: 2015-10-21
TIANJIN UNIV
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Problems solved by technology

[0005] However, the above method does not consider the impact of other visual characteristics of the human eye and depth information on the quality evaluation of stereoscopic images, resulting in objective evaluation values ​​that cannot effectively reflect subjective evaluation results.

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  • Three-dimensional image quality objective evaluation method based on three-dimensional visual saliency

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Embodiment 1

[0043] An objective evaluation method of stereoscopic image quality based on stereoscopic saliency, see Figure 11 , the stereoscopic image quality objective evaluation method comprises the following steps:

[0044] 101: By simulating central offset and fovea characteristics, optimize the stereoscopic saliency map, and extract the optimized stereoscopic saliency map;

[0045] 102: Obtain a stereoscopic image comprehensive quality map according to the quality map of the distorted stereoscopic image and the quality map of the absolute difference image;

[0046] 103: Perform weighted summation on the comprehensive quality map of the stereo image through the stereo vision saliency map to obtain an objective evaluation value of the quality of the distorted stereo image.

[0047] Wherein, before step 101, the stereoscopic image quality objective evaluation method further includes: obtaining a stereoscopic saliency map of the distorted stereoscopic image by simulating visual saliency,...

Embodiment 2

[0063] 201: Obtain a stereoscopic saliency map of a distorted stereo image by simulating visual saliency;

[0064] According to the literature [9], this method extracts the brightness contrast feature, chroma contrast feature and texture contrast feature of the right view of the distorted stereo image.

[0065] (1) Convert the right view of the distorted stereoscopic image from RGB to YCbCr color space, divide it into non-overlapping image blocks, and carry out discrete cosine transform to the image blocks;

[0066] Convert the right view of the distorted stereo image from the RGB color space to the YCbCr color space, the Y channel represents brightness information, and the Cb and Cr channels represent chrominance information; the right view of the distorted stereo image is divided into 8*8 non-overlapping image blocks, and the image blocks are Carry out discrete cosine (DCT) transform; Use the direct current (DC) coefficient L=Y of Y channel DC Represents the brightness feat...

Embodiment 3

[0125] The method is described in detail below in conjunction with the technical solution: the present invention specifically includes three parts: extracting a stereoscopic saliency map, extracting a stereoscopic image comprehensive quality map and merging the two, and the specific steps are as follows:

[0126] 301: Initially extract a stereoscopic saliency map;

[0127] (1) Convert the right view of the distorted stereoscopic image from the RGB color space to the YCbCr (4:2:0) color space according to formula (1), the Y channel represents the brightness information, and the Cb and Cr channels represent the chroma information; the right view is divided into 8*8 non-overlapping image blocks, carry out discrete cosine transform to image blocks according to formula (17);

[0128] Y=0.299R+0.578G+0.114B

[0129] Cr=0.5R-0.4178G-0.0813B+128

[0130] Cb=-0.1687R-0.3313G+0.5B+128

[0131] F ( m , n...

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Abstract

The invention discloses a three-dimensional image quality objective evaluation method based on three-dimensional visual saliency. The three-dimensional image quality objective evaluation method comprises the following steps: optimizing a three-dimensional visual saliency map by simulating central offset and central concave characteristic, and extracting an optimized three-dimensional visual saliency map; acquiring a three-dimensional image comprehensive quality map according to a distorted three-dimensional image quality map and a quality map of an absolute difference map; and performing weighted summation on the three-dimensional image comprehensive quality map through the three-dimensional visual saliency map to obtain a distorted three-dimensional image quality objective evaluation value. The overall performance of the method on the aspect of three-dimensional image quality objective evaluation is superior to an algorithm in the prior art; practical feasibility is realized; a high three-dimensional image quality objective evaluation index is obtained; and a plurality of demands in practical application are met.

Description

technical field [0001] The invention relates to the field of stereoscopic images, in particular to an objective evaluation method of stereoscopic image quality based on stereoscopic salience. Background technique [0002] In recent years, stereoscopic image processing technology has been widely used in the entertainment industry and scientific fields. Different from the visual experience brought by flat images, stereoscopic images provide people with a more realistic stereoscopic visual experience. However, various distortions will occur in the process of collecting, compressing, storing, transporting and displaying stereoscopic images, which will affect people's stereoscopic vision experience. Stereoscopic image quality, as an inherent attribute of stereoscopic images, is an important index for judging the distortion of stereoscopic images. Although the accuracy of the subjective quality evaluation method is high, it is time-consuming, laborious and costly. Therefore, it i...

Claims

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Application Information

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IPC IPC(8): H04N17/00H04N13/00
Inventor 李素梅徐姝宁侯春萍
Owner TIANJIN UNIV
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