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Stereo image quality evaluation method based on region weight

A technology for stereo image and quality evaluation, applied in the field of image processing, can solve the problems of time-consuming and laborious, and the evaluation results are not stable enough, and achieve the effect of simple processing method, good prediction and strong practicability.

Inactive Publication Date: 2019-02-15
TIANJIN UNIV
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Problems solved by technology

The current subjective evaluation method is easily disturbed by many factors, and it is time-consuming and laborious, and the evaluation results are not stable enough.

Method used

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  • Stereo image quality evaluation method based on region weight
  • Stereo image quality evaluation method based on region weight
  • Stereo image quality evaluation method based on region weight

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Embodiment Construction

[0028] In the stereoscopic image quality evaluation method based on region weights of the present invention, each distorted image pair consists of a left distorted image and the right distortion map , while its corresponding reference image is composed of the left reference image and right reference figure composition. The resolutions are all h*w. The evaluation method includes the following steps:

[0029] The first step: the left distortion map and the right distortion map Use the straight line detection based on Hough transform H respectively to obtain the left detection map after the straight line detection and the right detection map The calculation process is as follows.

[0030] First use the Canny edge detection method to distort the left image and the right distortion map Then mark the non-zero regions in the two images, and use the k-means clustering method to complete the selection of the center point for all the pixels in the marked non-zero reg...

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Abstract

The invention relates to a stereo image quality evaluation method based on region weight, which comprises: processing a left distortion map and a right distortion map by using a Canny edge detection method to obtain a left detection image and a right detection image; defined as a binocular region and a monocular region, At the same time, the present invention sets weight information for differentregions; for calculating regional weight quality score QIW-SSIM based on image content; for binocular region, calculating regional weight quality score QSW-SSIM based on stereo vision; comprehensive image based The content-based regional weight quality score QIW-SSIM and the regional weight quality score QSW-SSIM based on stereoscopic vision obtain the final stereoscopic image quality evaluation result.

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] Stereoscopic images have a wide range of applications, laying the foundation for the development of 3D movies, virtual reality and other fields. However, stereoscopic images will be interfered by many factors during the collection, transmission and playback process, which will cause data distortion and affect the final experience. Therefore, how to evaluate the stereoscopic image quality is a problem that needs to be solved. In previous studies, stereoscopic image evaluation can usually be summarized into two categories: subjective evaluation and objective evaluation. The current subjective evaluation methods are easily disturbed by many factors, and are time-consuming and labor-intensive, and the evaluation results are not stable enough. Compared with subjective evaluation, objective evaluation use...

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06T7/13G06T7/11G06T7/168G06T5/50G06K9/62
CPCG06T5/50G06T7/11G06T7/13G06T7/168G06T2207/20221G06T2207/30204G06T2207/30168G06F18/23213
Inventor 姜斌杨嘉琛刘佳成
Owner TIANJIN UNIV
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