A method for determining the number of subjects and experimental data for subjective evaluation of stereoscopic images

Abstract

The invention discloses a method for determining the number of stereoscopic image subjective assessment testees and experiment data, and relates to the field of stereoscopic image quality subjective assessment. The method comprises the following steps of through analyzing preprocessing data, determining the number of the subjective assessment testees by perverting a confidence interval formula to shorten an experiment cycle and reduce the cost; performing a subjective assessment experiment by utilizing the determined reasonable number of qualified testees, including the processes of establishing a stereoscopic image database, selecting reasonable testing environmental conditions, selecting the testees according to standards and training and testing the testees; lastly, according to the image quality subjective assessment standard regulation and the Grubbs' test method, eliminating abnormal testees and reasonably screening abnormal data in experiment data to avoid the influence of the testees, the experiment environment and other uncertain factors on the accuracy of an experiment result. The method is based on stereoscopic image quality subjective assessment, and the accuracy of the experiment data result is improved from the angle of statistics.

Description

technical field [0001] The invention relates to the field of stereoscopic images, in particular to a method for determining the number of subjects and experimental data for subjective evaluation of stereoscopic images. Background technique [0002] At present, stereoscopic imaging technology has been widely used in various industries. This technology includes the acquisition, compression, transmission, processing and display of stereoscopic images. Therefore, how to use stereoscopic image quality evaluation methods to measure the degree of image damage caused by stereoscopic imaging in these processes has become one of the research hotspots in the field of stereoscopic imaging technology. Stereoscopic image quality evaluation is divided into two categories: subjective evaluation and objective evaluation. Compared with objective evaluation methods, subjective evaluation methods directly use people to judge the quality of stereoscopic images, which can more intuitively and acc...

AI Technical Summary

Problems solved by technology

[0005] At present, there is no uniform standard for the subjective evaluation scheme of stereoscopic images. At the same time, in the established or used subjective evaluation schemes of stereoscopic image quality, there are no specific regulations on the method of determining the number of subjects and the screening method of experimental data. The number of subjects and the accuracy of the experimental data directly determine the complexity, cost and accuracy of the subjective experiment, and are also important factors affecting the subjective evaluation score.

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