Relocated stereo image quality evaluation method

Abstract

The invention discloses a relocated stereo image quality evaluation method, which considers the influence of geometric distortion, information loss and visual comfort on stereo image relocation, and comprises the following steps of: calculating length-width ratio similarity, grid similarity, forward information loss, backward information loss, information retention characteristics and visual comfort of an original stereo image and a relocated stereo image; acquiring feature vectors of the relocated stereo image, then training feature vectors in a training set by using support vector regressionin a training stage, and constructing a support vector regression training model; and using the support vector regression training model to predict to obtain an objective quality evaluation predictedvalue of the relocated stereo image corresponding to feature vectors in a test set in a test stage. Since the obtained feature vectors have high stability and can well reflect geometric distortion, information loss and visual comfort of the relocated stereo image, correlation between an objective evaluation result and subjective perception of human eyes is effectively improved.

Description

technical field [0001] The invention relates to an image quality evaluation method, in particular to a repositioning stereoscopic image quality evaluation method. Background technique [0002] With the popularization of terminal display devices with different resolutions and screen aspect ratios, such as smartphones, tablet computers, and TVs, when the resolution of the image or video to be displayed does not match the resolution of the screen, how to maximize the On the premise of not changing the user's viewing experience, changing the resolution of images or videos to adapt to terminal display devices of different sizes is the problem of adaptive display. Current typical adaptive display methods include scaling, cropping, and warping. However, these adaptive display methods do not make full use of the size advantage of the terminal display device, which reduces the user experience effect. Therefore, it is necessary to objectively evaluate the performance of different ada...

AI Technical Summary

Problems solved by technology

However, the quality of stereoscopic images not only includes the image content itself, but also factors such as excessive binocular parallax, binocular asymmetry, and binocular accommodation and convergence conflicts will seriously affect the viewing comfort of stereoscopic images.

Therefore, compared with the planar relocation method, the stereo image relocation technology needs to consider more image distortion factors, which also greatly increases the complexity of the stereo image relocation technology.

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