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Stereo image quality evaluation method based on binocular fusion

A technology of stereoscopic image and quality evaluation, applied in the direction of stereoscopic system, image communication, television, etc., can solve the problems of inability to obtain evaluation effect, singleness, etc., and achieve the effect of good subjective and objective consistency, excellent accuracy and reliability

Inactive Publication Date: 2016-09-21
TIANJIN UNIV
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AI Technical Summary

Problems solved by technology

However, when the human eye captures a stereoscopic image, it fuses the left and right viewpoints to form a single image according to the binocular fusion characteristics of vision, so it still cannot achieve a relatively ideal evaluation effect.

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  • Stereo image quality evaluation method based on binocular fusion
  • Stereo image quality evaluation method based on binocular fusion
  • Stereo image quality evaluation method based on binocular fusion

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Embodiment Construction

[0057] The present invention adopts the characteristics of binocular fusion to obtain the distortion degree of the stereoscopic image by using the characteristic of binocular fusion to obtain the distortion degree of the stereoscopic image when measuring the degree of image distortion.

[0058] The technical scheme adopted in the present invention is, the objective quality evaluation method of stereoscopic image based on binocular fusion, comprises the following steps:

[0059] Step 1: Construct a monocular perception model that conforms to the characteristics of human vision, which consists of a brightness masking module, a texture masking module and a multi-channel decomposition module. original imageX 0 After the monocular perception model becomes the perceptual image X V , including the following:

[0060] 1. Original imageX 0 After the brightness masking module becomes the brightness mask image X 1

[0061] First calculate the original image X 0 The brightness maski...

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Abstract

The invention belongs to the video and image processing field and provides a stereo image quality evaluation method which is in accord with related characteristics of a human visual system and is more effective. Through the method, quality of a stereo image can be more accurately and effectively evaluated, and development of the stereo imaging technology is further facilitated to a certain degree. The method comprises steps that step 1, a monocular perception model in accord with the human visual characteristics is constructed; and step 2, an image distortion degree QD of a perception image Xv acquired at the step 1 is calculated, 1), structure similarity SSIM of left and right view image subblocks is calculated; 2), the final image distortion degree QD is constructed, in combination with eye stereo visual binocular characteristics and visual center significance characteristics, weighted summation of structure similarity indexes of the image subblocks is carried out to calculate a final image distortion degree evaluation score QD. The method is mainly applied to video and image processing.

Description

technical field [0001] The invention belongs to the field of video and image processing, and relates to the improvement and optimization of a stereoscopic image quality evaluation method, in particular to the application of the masking effect, multi-channel effect and contrast sensitivity in the human visual system in the objective evaluation of the stereoscopic image quality. Background technique [0002] Stereoscopic image technology is a new type of multimedia technology that can provide a sense of visual depth. Compared with flat images, stereoscopic images mainly use the principle of binocular parallax to receive images from the left and right channels through the binoculars, bringing better viewing experience to the viewer. The sense of presence, but also requires more storage space and greater transmission bandwidth. Therefore, efficient compression of stereoscopic images is a key technology to reduce storage costs and relieve pressure on network bandwidth. However, ...

Claims

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Application Information

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IPC IPC(8): H04N17/00H04N13/00
CPCH04N13/106H04N17/00H04N2013/0074
Inventor 李素梅丁学东刘富岩侯春萍
Owner TIANJIN UNIV
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