Perceptual Quality Assessment for Stereoscopic Images Based on 2d Image Quality Metrics and Disparity Analysis
نویسندگان
چکیده
Both compression and transmission errors may degrade the quality of stereoscopic images. Although many twodimensional (2D) image quality metrics have been proposed that work well on 2D images, developing quality metrics for three-dimensional visual presentations is almost an unexplored issue. This paper investigates the capabilities of some 2D image quality metrics in stereoscopic image quality assessment. Furthermore, disparity has a significant impact on stereoscopic image quality assessment, as an important attribute in stereopsis. A study on the integration of disparity information into quality assessment is presented. The experimental results demonstrate that a better performance can be achieved if the disparity information and original images are combined appropriately in stereoscopic image quality assessment.
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