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No-Reference Stereoscopic IQA Approach: from Nonlinear Effect to Parallax Compensation

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Executive Summary

Three-Dimensional (3D) imaging has been an extensive research area, the application of which ranges from entertainment, such as videos and games, to specialized domains, such as education and medicine. As more and more image processing operations have been specifically designed for stereoscopic images, the necessity for an effective perceptual stereoscopic Image Quality Assessment (IQA) algorithm is increasing. Following the research of monoscopic image quality metrics, stereoscopic IQA approaches fall into two categories: subjective assessment and objective assessment. Although the subjective assessment method should be the ultimate quality gauge for digital images, it is usually time-consuming, expensive, and not practical for real-time image processing systems. Therefore, an increasing number of objective stereoscopic image quality metrics have been developed.

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