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A 3D image quality evaluation method based on visual saliency and depth map

A technology of image quality evaluation and depth map, which is applied in the field of image processing and can solve problems such as costing money, labor, and visual fatigue

Active Publication Date: 2019-01-22
ZHEJIANG UNIV
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Problems solved by technology

Although subjective evaluation based on the judgment of human observers is the most effective means of predicting image quality, it has limitations: it is time-consuming, expensive, and cannot be implemented in real-time systems. accuracy of judgment

Method used

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  • A 3D image quality evaluation method based on visual saliency and depth map
  • A 3D image quality evaluation method based on visual saliency and depth map
  • A 3D image quality evaluation method based on visual saliency and depth map

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Embodiment Construction

[0056] The method of the present invention will be further described below in conjunction with the accompanying drawings.

[0057] Step (1). In Matlab software, the reference stereo image pair of phaseI and phaseII and the corresponding distortion stereo image pair are read in the 3DLIVE image database of the University of Texas at Austin, wherein each stereo image pair includes left and right view images respectively.

[0058] Step (2). Utilize the Log Gabor filter to filter the reference image and the distorted image input in the step (1), and the filtering result is the image edge texture feature obtained;

[0059] The expression of the Log Gabor filter is as follows:

[0060]

[0061] where (f, θ) represents polar coordinates, θ 0 is the center direction, f 0 is the center frequency, σ θ defines the angular bandwidth ΔΩ, and σ f The radial bandwidth B is defined:

[0062]

[0063]

[0064] From the formula (1), the log Gabor can get the amplitude map of the i...

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Abstract

The invention discloses a 3D image quality evaluation method based on visual saliency and depth map. The method includes: obtaining disparity map by stereo matching algorithm, Using spectral residualalgorithm to obtain the saliency map of image, using structural similarity algorithm to obtain the similarity of brightness, contrast and contrast, and using Gaussian color model to obtain chromaticity similarity characteristics and other metrics, finally, using Log Gabor filter to extract multi-scale features from reference image and distorted image, obtaining edge texture features of left and right images in multi-scales and multi-directions, carrying out the similarity calculation, obtaining the index features of image quality evaluation, obtaining objective quality fractions by regressionprediction with support vector machine, completing stereo image quality mapping, and obtaining final stereo image quality evaluation. The objective evaluation and the subjective evaluation of the full-reference image quality evaluation method provided by the invention have good consistency, and are superior to the traditional stereoscopic image quality evaluation method.

Description

technical field [0001] The invention belongs to the technical field of image processing, and in particular relates to a 3D image quality evaluation method based on visual salience and depth maps. Background technique [0002] Vision is the main channel for human beings to obtain information from the outside world, and people obtain more than 80% of the information through vision. The most important carrier of visual information is image. Therefore, image processing technology, including acquisition and display, has become an important part of people's daily life. [0003] Three-dimensional (3D) imaging techniques, including processing stages such as 3D scene capture, 3D compression, 3D transmission, rendering and display, have attracted enormous research attention in the past decade. Although digital image processing and its related fields have made amazing progress in these years, they still face the problem that the quality of visual signals cannot fully meet the current ...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06K9/46G06K9/62
CPCG06V10/462G06F18/2411G06F18/214
Inventor 丁勇陈栋才周一博孙阳阳孙光明邓瑞喆罗述杰
Owner ZHEJIANG UNIV
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