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

Abstract

The invention belongs to the field of image processing. According to the invention, the consistence of an objective evaluation result and subjective evaluation is higher; and moreover, the development of a 3DTechnology is promoted to a certain extent. According to the technical scheme provided by the invention, a three-dimensional image quality objective evaluation method based on graph-based visual saliency comprises following steps of 1), by using a structural similarity SSIM algorithm, calculating comparison functions of the brightness, contrast, and structures of a reference right image and a right image; 2), through adoption of a GBVS (Graph-based Visual Saliency) graph saliency calculation model provided by the improvement of a characteristic graph technical method, calculating the saliency characteristics of a distorted image; and 3), carrying out weighted calculation on the image quality weights obtained in the step 1) and the saliency graph of the distorted image obtained in the step 2). The method is mainly applied to image processing.

Description

technical field [0001] The invention belongs to the field of image processing, and relates to the improvement and optimization of image quality evaluation methods, in particular to an objective evaluation method of stereoscopic image quality based on map salience. Background technique [0002] Since the 20th century, stereoscopic imaging technology (3D Technology) has been more and more widely used in the fields of science and technology, life and entertainment, and more and more efforts have been devoted to the research of 3D imaging technology. However, in the process of collecting, compressing, storing, transmitting and displaying stereoscopic images, various distortions may occur due to various reasons, seriously affecting people's feelings when watching stereoscopic images. 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 ...

AI Technical Summary

Problems solved by technology

Although the accuracy of the subjective quality evaluation method is high, it has the defects of time-consuming, laborious and high cost. Therefore, it is of great significance to establish an objective evaluation algorithm of stereoscopic image quality that can accurately and efficiently simulate the subjective evaluation results of the human eye.

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