Three-dimensional image quality objective evaluation method based on regional importance classification

Abstract

The invention discloses a three-dimensional image quality objective evaluation method based on the regional importance classification. The method comprises the following steps of firstly respectively calculating a one-eyed figure of the original distortion-free three-dimensional image and a one-eyed figure of the to-be-evaluated distorted three-dimensional image, calculating a structural distortion figure between the two one-eyed figures and a three-dimensional remarkable figure of the one-eyed figure of the original distortion-free three-dimensional image, dividing the one-eyed figure of the to-be-evaluated distorted three-dimensional image into a remarkable distortion area, a remarkable non-distortion area, a non-remarkable distortion area and a non-remarkable non-distortion area to be evaluated, fusing an objective evaluation measuring value of each area to obtain an image quality objective evaluation prediction value of the to-be-evaluated distorted three-dimensional image. The method has the advantages that the obtained structural distortion figure and the three-dimensional remarkable figure can well reflect the sensitivity of the eye to different areas, so that the objective evaluation result can better conform to the human vision, and the coherence of the objective evaluation result and the subjective sensing can be effectively improved.

Description

technical field [0001] The invention relates to an image quality evaluation method, in particular to an objective evaluation method of stereoscopic image quality based on regional importance classification. 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 binocular parallax principle 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 a stereoscopic image with a sense of depth and realism. Due to the influence of acquisition system, storage compression and transmission equipment, stereoscopic images will inevitably introduce a series of distortions. Compared with single-channel images, stereoscopic images need to ensure th...

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Problems solved by technology

[0003] The current objective evaluation method for stereoscopic image quality is to directly apply the planar image quality evaluation method to evaluate the quality of stereoscopic images. However, the process of human perception of stereoscopic images to produce stereoscopic vision is not a simple process of superimposing images from left and right viewpoints: 1) Stereoscopic vision Features (e.g., 3D visual attention) are not simple extensions of 2D visual properties; 2) Human vision has different perceptual preferences for different regions (the importance of each region to perception is inconsistent)

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