Stereoscopic image quality assessment model with three-component weighted structure similarity

Abstract

In this paper, an objective assessment model based on three-component weighted structural similarity is presented for stereoscopic image. Since different distortions affect details of stereoscopic image differently, the image is classified into three kinds of regions including edge, smooth and texture regions so that different weights are associated to different regions to assess distorted stereoscopic image. The experimental results show that the assessment scores are consistent with subjective stereoscopic perception when stereoscopic image is degraded by blur, white noise, JPEG and JPEG 2000 process. Thus the objective assessment results can well reflect the image quality and stereoscopic perception.

Stereoscopic video quality assessment model based on spatial-temporal structural information

“…It measures artifacts (including blockiness and zero-crossing) separately for blocks in the left and right views and evaluates the disparity between them. The work in [4] classifies pixels into edge, texture and smooth regions and assigns different weights to the local quality obtained by traditional 2D Image Quality Metrics (IQMs) of these regions and then averages between views. Wang et al [5] proposed a stereo image quality assessment algorithm considering binocular spatial sensitivity.…”

Objective No-reference Stereo Video Quality Assessment Research

“…In 2008, a method based on improved PSNR of the stereo image quality evaluation was proposed [3]. Due to the different signals for the visual impact of the human visual system is different, so the method is inconsistent with the human eye vision system..In [4], the quality of depth map is used as a 3d video quality measurement.. A full reference (FR) quality metric for the assessment of stereoscopic image pairs using the fusion of 2D quality metrics and of the depth information is proposed in [5].This method is not fully considering human visual characteristics and does not have a wide range of applicability. With the deepening of the research on human visual system, some of the human visual characteristics is introduced into the evaluation method.…”