An Objective Evaluation Method for Stereoscopic Image Quality Without Reference

Abstract

The invention discloses a method for objectively evaluating the quality of a three-dimensional image without a reference. According to the method for objectively evaluating the quality of the three-dimensional image without the reference, in the training stage, multiple original undistorted three-dimensional images and corresponding distorted three-dimensional images are selected to form a training image set, then dictionary training is conducted according to the Fast-ICA method, so that the visual dictionary table of each image in the training image set is constructed, and visual quality tables corresponding to the visual dictionary tables are constructed by calculating the frequency responses of each pixel point in each original undistorted three-dimensional image and each pixel point in the corresponding distorted three-dimensional image in the training image set under the conditions of different center frequencies and different directional factors; in the testing stage, for the tested three-dimensional image, a predicted objective evaluation value of the quality of the tested three-dimensional image is obtained by calculating the frequency responses of each pixel point in the tested three-dimensional image under the conditions of different center frequencies and different directional factors according to the constructed visual dictionary tables and the constructed visual quality tables. The method for objectively evaluating the quality of the three-dimensional image without the reference has the advantages that calculation complexity is low, and the relevancy between objective evaluation results and subjective sensing is high.

Description

technical field [0001] The invention relates to an image quality evaluation method, in particular to an objective evaluation method for no-reference stereoscopic image quality. Background technique [0002] With the rapid development of image coding technology and stereoscopic display technology, stereoscopic image technology has received more and more attention and applications, and has become a current research hotspot. Stereoscopic image technology utilizes the principle of binocular parallax of the human eye. Both eyes independently receive left and right viewpoint images from the same scene, and form binocular parallax through brain fusion, so as to enjoy stereoscopic images with a sense of depth and realism. . Compared with single-channel images, stereo images need to ensure the image quality of two channels at the same time, so it is very important to evaluate its quality. However, there is currently no effective objective evaluation method to evaluate the stereosco...

AI Technical Summary

Problems solved by technology

The current no-reference quality evaluation usually uses machine learning to predict the evaluation model, which has high computational complexity, and the training model needs to predict the subjective evaluation value of each evaluation image, which is not suitable for practical applications and has certain limitations.

Images